QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Open accessAbstract
The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a high-level description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoE-oriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.
AI snapshot
Written from the paper’s full text.
TL;DR
This paper is a tutorial and comprehensive survey of QoE management for multimedia streaming services in current and future networks, with emphasis on SDN, NFV, MEC, cloud/fog, ICN, and emerging immersive applications. It synthesizes QoE modeling, monitoring, optimization, and control approaches, then outlines future research challenges and directions for softwarized 5G networks.
Key findings
- The paper organizes QoE management into three major components: QoE modeling and assessment, QoE monitoring and measurement, and QoE optimization and control, and surveys their use for HTTP adaptive streaming, DASH, and SAND.
- It reports that 82% of all IP traffic will be video by 2022, and mobile-connected devices are estimated to reach 14.6 billion by 2022, exceeding the world’s projected population of 8 billion.
- It surveys QoE-aware/driven strategies using SDN/NFV, including server/network-assisted optimization, QoE fairness and personalized control, QoE-centric routing, MPTCP/segment routing, and OTT-ISP collaboration; cited results include MP-DASH reducing cellular usage and radio energy consumption by 99% and 85% respectively with negligible QoE degradation, and ICN prefetching increasing delivered video quality by 20% compared with DASH without prefetching.
- It identifies future challenges in QoE management and orchestration, OTT-ISP collaboration, QoE-oriented business models, QoE-based big data, network sharing/slicing, scalability/resilience, security/privacy/trust, and multimedia communications in IoT.
Methods
- Design: a tutorial and comprehensive survey, not an empirical study; it reviews and categorizes QoE management solutions across SDN/NFV, emerging architectures such as MEC, cloud/fog computing and ICN, and new domains including immersive AR/VR, mulsemedia, cloud gaming, and light field applications.
- Data or sample: no primary dataset, human subjects, or experimental sample; the work draws on cited literature, standardization activities, research projects, and summary tables such as related surveys, QoE-centric management strategies, emerging-architecture strategies, and future challenges.
- Main analysis: narrative literature review and taxonomy/comparison; no meta-analysis, systematic review protocol, or quantitative synthesis is reported.
Limitations
- The paper does not state limitations of its own survey/tutorial.
- Evident from the text: it is a tutorial/survey without primary data collection, experimental validation, or performance evaluation of the reviewed approaches.
- Evident from the text: it does not describe a systematic review protocol or inclusion/exclusion criteria; coverage is broad and organized according to the authors’ taxonomy.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 142 cited sources checked · 0 supported · 0 flagged
- Findingcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 23
Using videoand network-aware prefetching strategy, the delivered video quality increases by 20%, compared to a DASH system without prefetching.
“Using videoand network-aware prefetching strategy, the delivered video quality increases by 20%, compared to a DASH system without prefetching.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [281] [281] Y.-T. Yu, F. Bronzino, R. Fan, C. Westphal, and M. Gerla, 'CongestionAware Edge Caching for Adaptive Video Streaming in InformationCentric Networks,' 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), , pp. 588-596, Jan 2015. - source
Not checked in the free run.
- Findingcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 24
The performance of the 5G radio scheduler is shown to depend on the number of 360 mulsemedia users, mobility, positioning and channel conditions.
“The performance of the 5G radio scheduler is shown to depend on the number of 360 mulsemedia users, mobility, positioning and channel conditions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [320] [320] I.-S. Comsa, R. Trestian, and G. Ghinea, '360 Mulsemedia Experience over Next Generation Wireless Networks - A Reinforcement Learning Approach,' in 10th International Conference on Quality of Multimedia Experience (QoMEX 2018) , (Sardinia, Italy), May 2018. - source
Not checked in the free run.
- Premisecitation§ B. Server And Network assisted DASH (SAND) · p. 9
SAND messages improve the streaming session by providing information about real-time operational characteristics of networks, servers, proxies, caches, CDNs as well as DASH client's performance.
“SAND messages improve the streaming session by providing information about real-time operational characteristics of networks, servers, proxies, caches, CDNs as well as DASH client's performance [109].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] [109] 'ISO/IEC 23009-5: Information Technology -Dynamic Adaptive Streaming over HTTP (DASH) - Part 5: Server and Network Assisted DASH (SAND). Standard,' Feb 2017. -
Not checked in the free run.
- Premisecitation§ A. Related Work and Motivation · p. 3
Recent efforts exploring QoE management using SDN and/or NFV are limited by a limited review and discussion of standardization activities related to SDN and/or NFV.
“Although recent efforts explore the QoE management aspects using SDN and/or NFV, we note that these works are limited in at least one of the following: 1) limited review and discussion of the standardization activities related to SDN and/or NFV;”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [19] [19] Y. Wang, P. Li, L. Jiao, Z. Su, N. Cheng, X. S. Shen, and P. Zhang, 'A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks,' IEEE Wireless Communications Magazine , vol. 24, pp. 102-110, Nov 2016. - source
Not checked in the free run.
- cites [24] [24] J. Nightingale, Q. Wang, J. M. A. Calero, E. Chirivella-Perez, M. Ulbricht, J. A. Alonso-López, R. Preto, T. Batista, T. Teixeira, M. J. Barros, and C. Reinsch, 'QoE-Driven, Energy-Aware Video Adapta- 20. tion in 5G Networks: The SELFNET Self-Optimisation Use Case,' International Journal of Distributed Sensor Networks , vol. 12, no. 1, pp. 1-15, 2016. - source
Not checked in the free run.
- cites [34] [34] P. Neves, R. Calé, M. Costa, G. Gaspar, J. Alcaraz-Calero, Q. Wang, J. Nightingale, G. Bernini, G. Carrozzo, A. Valdivieso, L. J. G. Villalba, M. Barros, A. Gravas, J. Santos, R. Maia, and R. Preto, 'Future mode of operations for 5G - The SELFNET approach enabled by SDN/NFV,' Computer Standards & Interfaces , vol. 54, pp. 229 - 246, 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given§ A. Related Work and Motivation · p. 3
Recent efforts exploring QoE management using SDN and/or NFV do not describe how QoE can be managed, measured or controlled in emerging technologies such as cloud/fog computing, MEC or ICN and new domains with new constraints such as delay-sensitive applications like AR/VR or video gaming.
“4) they do not describe how QoE can be managed/measured or controlled in emerging technologies (such as cloud/fog computing, MEC or Information Centric Networking (ICN)) and new domains with new constraints (e.g., delay sensitive applications such as AR/VR or video gaming applications).”
Quote in the paperNot a substantial claim
- Premisecitation§ TABLE III: SOME OF THE COMMONLY USED IMAGE AND VIDEO QA MODELS. · p. 6
QoE optimization and control is a challenging task due to many issues, including the heterogeneity of multimedia-capable users' devices.
“However, considering the multimedia delivery chain shown in Fig. 4, QoE optimization and control is a challenging task due to many issues, including the heterogeneity of multimedia-capable users' devices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] [8] S. Barakovi´ c and L. Skorin-Kapov, 'Survey and Challenges of QoE Management Issues in Wireless Networks,' Journal of Computer Networks and Communications , vol. 2013, pp. 1-28, Dec 2013. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation§ I. INTRODUCTION · p. 2
SDN and NFV have been identified as critical technologies for enabling future network control to be programmable, centrally manageable, adaptable and cost-effective.
“Towards this end, new paradigms such as SDN and NFV have been identified as critical technologies for enabling future network control to be programmable, centrally manageable, adaptable and cost-effective.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [12] [12] D. Kreutz, F. M. V. Ramos, P. E. Veríssimo, C. E. Rothenberg, S. Azodolmolky, and S. Uhlig, 'Software-Defined Networking: A Comprehensive Survey,' Proceedings of the IEEE, , vol. 103, pp. 14-76, Dec 2015. -
Not checked in the free run.
- cites [13] [13] R. Mijumbi, J. Serrat, J.-L. Gorricho, N. Bouten, F. D. Turck, S. Member, and R. Boutaba, 'Network Function Virtualization: State-of-the-Art and Research Challenges,' IEEE Communications Surveys & Tutorials , vol. 18, pp. 236-262, Sept 2016. -
Not checked in the free run.
- Rests on an assumption: Future networks are shifting towards the cloudification of network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV).
- Premisereasoning§ A. Related Work and Motivation · p. 2
Existing studies do not provide insights into how network or service providers can utilize the capabilities of SDN and NFV for QoE management to meet end users' quality demands.
“As such, these studies do not provide insights into how network or service providers can utilize the capabilities of SDN and NFV for QoE management (e.g., to achieve automation, programmability, flexibility, scalability and network control) to meet the end users' quality demands.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [8] [8] S. Barakovi´ c and L. Skorin-Kapov, 'Survey and Challenges of QoE Management Issues in Wireless Networks,' Journal of Computer Networks and Communications , vol. 2013, pp. 1-28, Dec 2013. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [25] [25] L. Skorin-Kapov, M. Varela, T. Hoßfeld, and K.-T. Chen, 'A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services,' ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , vol. 14, pp. 2 -28, May 2018. - source
Not checked in the free run.
- cites [31] [31] S. Petrangeli, J. V. D. Hooft, T. Wauters, and F. D. Turck, 'Quality of Experience-Centric Management of Adaptive Video Streaming Services: Status and Challenges,' ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , vol. 14, pp. 2 -28, May 2018. - source
Not checked in the free run.
- Premisecitation§ A. HTTP Adaptive Streaming (HAS) Solutions · p. 8
HAS has been adopted commercially by Microsoft Smooth Streaming, Adobe Dynamic Streaming, Netflix and Apple HTTP Live Streaming for multimedia streaming service.
“Based on these benefits, HAS has been adopted commercially as shown in Table IV by Microsoft Smooth Streaming, Adobe Dynamic Streaming, Netflix and Apple HTTP Live Streaming for multimedia streaming service [102].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [102] [102] N. Bouten, J. Famaey, S. Latre, R. Huysegems, B. D. Vleeschauwer, W. V. Leekwijck, and F. D. Turck., 'QoE optimization through innetwork quality adaptation for HTTP Adaptive Streaming.,' 8th International Conference on in Network and Service Management (CNSM), , pp. 336-342, 2012. - source
Not checked in the free run.
- Premisecitation§ C. QoE Monitoring and Measurement · p. 5
Collected network-level Key Performance Indicators (KPIs) and user-level Key Quality Indicators (KQIs) provide inputs for QoE estimation models.
“The collected network-level Key Performance Indicators (KPIs), e.g., throughput, packet loss, delay or user-level service/application specific Key Quality Indicators (KQIs), e.g., frame rate, video resolution, service usability, and reliability, provide inputs for QoE estimation models [48], [61].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [48] [48] P. Juluri, V. Tamarapalli, and D. Medhi, 'Measurement of Quality of Experience of Video-on-Demand Services: A Survey,' IEEE Communications Surveys & Tutorials , vol. 18, pp. 401-418, Firstquarter 2016. - source
Not checked in the free run.
- cites [61] [61] W. Robitza, A. Ahmad, P. A. Kara, L. Atzori, M. G. Martini, A. Raake, and L. Sun, 'Challenges of future multimedia QoE monitoring for internet service providers,' Multimedia Tools and Applications , pp. 124, June 2017. - source
Not checked in the free run.
- Premisecitation§ C. QoE Monitoring and Measurement · p. 5
The process of managing and optimizing end users' QoE requires knowledge regarding the root cause of QoE degradation or unsatisfactory QoE levels.
“The process of managing and optimizing the end users' QoE requires knowledge regarding the root cause of QoE degradation or unsatisfactory QoE levels.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] [59] T. Hoßfeld, R. Schatz, M. Varela, and C. Timmerer, 'Challenges of QoE management for cloud applications,' IEEE Communication Magazine , vol. 50, pp. 28-36, Jan 2012. - source
Not checked in the free run.
- Rests on an assumption: QoS metrics are not explicitly and directly linked with a customer's satisfaction of a service.
- Premisecitation§ A. HTTP Adaptive Streaming (HAS) Solutions · p. 8
HAS has been widely used in OTT video services such as Netflix and YouTube as the de facto standard for adaptive streaming solutions.
“HAS has been widely used in OTTP video services such as Netflix and YouTube [103] as the defacto standard for adaptive streaming solutions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] [103] 'Global Internet Phenomena Report: North America and Latin America.' https://www.sandvine.com/hubfs/downloads/archive/ 2016-global-internet-phenomena-report-latin-america-and-north-america. pdf, 2016. [Online: Accessed 06-September-2019]. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation§ A. HTTP Adaptive Streaming (HAS) Solutions · p. 8
The majority of Internet video traffic today is delivered via HAS.
“The majority of Internet video traffic today is delivered via HAS [6].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] [6] M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hoßfeld, and P. TranGia, 'A Survey on Quality of Experience of HTTP Adaptive Streaming,' IEEE Communications Surveys & Tutorials , vol. 17, pp. 469-492, First quarter 2015. - source
Not checked in the free run.
- Interpretationcitation§ C. QoE Monitoring and Measurement · p. 5
Virtualized probes can be used to provide efficient QoE monitoring mechanisms in future softwarized networks.
“With the advancement of virtualization and data management capabilities, virtualized probes [60] can be used to provide efficient QoE monitoring mechanisms in future softwarized networks.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] [60] C. Tselios and G. Tsolis, 'On QoE-awareness through Virtualized Probes in 5G Networks,' 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), , pp. 159-164, Oct 2016. -
Not checked in the free run.
- Premisecitation§ I. INTRODUCTION · p. 2
SDN and NFV are considered suitable for applications such as video streaming.
“SDN and NFV are considered to be suitable for applications such as video streaming [15][22].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15][22]
Not checked in the free run.
- Rests on an assumption: Future networks are shifting towards the cloudification of network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV).
- Premisecitation§ B. Server And Network assisted DASH (SAND) · p. 9
Practical and scalable implementation of SAND requires modification of network nodes/elements to provide a set of messages exchanged by network, servers, and DASH clients during video quality delivery optimization.
“However, this requires a modification of the network nodes/elements to provide a set of messages that can be exchanged by the network, servers, and DASH clients during video quality delivery optimization [110].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [110] [110] E. Thomas, M. O. van Deventer, T. Stockhammer, A. C. Begen, and J. Famaey, 'Enhancing MPEG DASH Performance via Server and Network Assistance,' SMPTE Motion Imaging Journal , vol. 126, pp. 22-27, Jan 2017. - source
Not checked in the free run.
- Premisereasoning§ A. Related Work and Motivation · p. 2
Existing survey papers on QoE management do not explain how QoE can be improved or optimized using SDN and NFV.
“However, the survey papers mentioned above do not explain how QoE can be improved or optimized using SDN and NFV.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [8] [8] S. Barakovi´ c and L. Skorin-Kapov, 'Survey and Challenges of QoE Management Issues in Wireless Networks,' Journal of Computer Networks and Communications , vol. 2013, pp. 1-28, Dec 2013. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [25] [25] L. Skorin-Kapov, M. Varela, T. Hoßfeld, and K.-T. Chen, 'A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services,' ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , vol. 14, pp. 2 -28, May 2018. - source
Not checked in the free run.
- cites [31] [31] S. Petrangeli, J. V. D. Hooft, T. Wauters, and F. D. Turck, 'Quality of Experience-Centric Management of Adaptive Video Streaming Services: Status and Challenges,' ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , vol. 14, pp. 2 -28, May 2018. - source
Not checked in the free run.
- Interpretationreasoning§ C. Multimedia Delivery Chain and Service Management Issues · p. 10
Since OTTP's SSs are physically located in ISP's network, SSs cannot be shifted in case of appearance of flash crowd or congestion in network.
“Since the OTTP's SSs are physically located in the ISP's network, the SSs cannot be shifted in case of the appearance of a flash crowd or congestion in the network.”
Quote in the paperSubstantial claim - Interpretationcitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10
SDN can provide an opportunity to ISPs to assist OTTP for optimal selection of CDN/SS considering their network.
“In this case, SDN can provide an opportunity to the ISPs to assist OTTP for the optimal selection of a CDN/SS considering their network [116].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [116] [116] M. Wichtlhuber, R. Reinecke, and D. Hausheer, 'An SDN-based CDN/ISP collaboration architecture for managing high-volume flows,' IEEE Transactions on Network and Service Management , vol. 12, no. 1, pp. 48-60, 2015. - source
Not checked in the free run.
- Interpretationreasoning§ C. Multimedia Delivery Chain and Service Management Issues · p. 10
NFV can provide an opportunity for secure deployment and movement of Virtual Surrogate Servers (VSSs) as VNF to avoid quality degradation cases mentioned above.
“However, NFV can provide an opportunity for the secure deployment and movement of Virtual Surrogate Servers (VSSs) as VNF to avoid the quality degradation cases mentioned above.”
Quote in the paperNot a substantial claim - Interpretationnone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17
When the MPTCP connection of subflows is established, the SDN controller can select the best available paths to transport the subflows.
“When the MPTCP connection of subflows is established, the SDN controller can select the best available paths to transport the subflows.”
Quote in the paperNot a substantial claim - Interpretationnone given§ C. QoE-Centric Routing Mechanisms using SDN/NFV · p. 16
Efficient delivery of video streams with improved QoE can be achieved in SDN using shortest paths, multiple disjoint paths or IP multicast procedures.
“Efficient delivery of video streams with improved QoE can be achieved in SDN using shortest paths, multiple disjoint paths or IP multicast procedures.”
Quote in the paperNot a substantial claim - Premisecitation§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13
With SAND, bandwidth reservation and bitrate guidance strategies have attracted much attention in the multimedia streaming community.
“With SAND, bandwidth reservation and bitrate guidance strategies have attracted much attention in the multimedia streaming community [7], [107] [198], [196].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] [7] P. Georgopoulos, Y. Elkhatib, M. Broadbent, M. Mu, and N. Race, 'Towards Network-wide QoE Fairness Using Openflow assisted Adaptive Video Streaming,' in in Proceedings of the 2013 ACM SIGCOMM Workshop on Future Human-centric Multimedia Networking, , (New York, NY, USA), pp. 15-20, Feb 2013. - source
Not checked in the free run.
- cites [107] [107] G. Cofano, L. D. Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo., 'Design and Experimental Evaluation of Networkassisted Strategies for HTTP Adaptive Streaming,' ACM Transactions on Multimedia Computing, Communications, and Applications , vol. 35, pp. 1-24, Nov 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [198] [198] A. Bentaleb, A. C. Begen, and R. Zimmermann, 'SDNDASH : Improving QoE of HTTP adaptive streaming using software defined networking,' in Proc. ACM Conference on Multimedia , pp. 1296-1305, Oct 2016. - source
Not checked in the free run.
- Premisecitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17
As stated by Duan et al. [227], the transfer of large data using MPTCP, especially multimedia traffic flows in SDN/NFV platforms, results in the number of forwarding rules on every switch to grow tremendously.
“However, as stated by Duan et al. [227], the transfer of large data using MPTCP, especially multimedia traffic flows in SDN/NFV platforms, results in the number of forwarding rules on every switch, to grow tremendously.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [227] [227] J. Duan, Z. Wang, and C. Wu, 'Responsive multipath TCP in SDNbased datacenters,' in 2015 IEEE International Conference on Communications (ICC) , pp. 5296-5301, June 2015. - source
Not checked in the free run.
- Premisereasoning§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18
In collaborative QoE management, the OTTP and ISP have different roles.
“In collaborative QoE management, the OTTP and ISP have different roles.”
Quote in the paperNot a substantial claim - Premisenone given§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13
SAND provides standardized messages between DASH clients and network elements to improve the efficiency of HTTP video streaming.
“In order to improve the efficiency of HTTP video streaming, SAND provides standardized messages between DASH clients and network elements.”
Quote in the paperNot a substantial claim - Interpretationcitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10
ISPs have to provide OTTP with access to VNF infrastructure for content replication/distribution.
“The ISPs have to provide OTTP with the access to the VNF infrastructure for content replication/distribution [121].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [121] [121] N. Herbaut, D. Negru, Y. Chen, P. A. Frangoudis, and A. Ksentini, 'Content Delivery Networks as a Virtual Network Function: A WinWin ISP-CDN Collaboration,' in 2016 IEEE Global Communications Conference (GLOBECOM) , (Washington, DC, USA), pp. 1-6, Dec 2016. -
Not checked in the free run.
- Interpretationnone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17
A centralized SDN controller can be used to provide an efficient mechanism for routing the MPTCP subflows in SDN/NFV-based networks.
“A centralized SDN controller can be used to provide an efficient mechanism for routing the MPTCP subflows in SDN/NFV-based networks.”
Quote in the paperNot a substantial claim - Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10
In order to balance load, some clients are served from last mile servers.
“In order to balance the load, some of the clients are served from the last mile servers [120].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [120] [120] T. Hoßfeld, L. Skorin-Kapov, Y. Haddad, P. Pocta, V. A. Siris, A. Zgank, and H. Melvin, 'Can context monitoring improve QoE? A case study of video flash crowds in the internet of services,' in IFIP/IEEE International Symposium on Integrated Network Management (IM) , pp. 1274-1277, 2015. - source
Not checked in the free run.
- Premisecitation§ B. QoE-Fairness and Personalized QoE-centric Control in SDN · p. 15
Some approaches, for example in [7,198], employ an optimization function that interacts with the controller to dynamically optimize QoE fairness of multiple competing clients by setting the bitrate for each streaming video in the network.
“Some of the approaches, for example in [7,198], employ an optimization function that interacts with the controller to dynamically optimize QoE fairness of multiple competing clients by setting the bitrate for each streaming video in the network.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [7] [7] P. Georgopoulos, Y. Elkhatib, M. Broadbent, M. Mu, and N. Race, 'Towards Network-wide QoE Fairness Using Openflow assisted Adaptive Video Streaming,' in in Proceedings of the 2013 ACM SIGCOMM Workshop on Future Human-centric Multimedia Networking, , (New York, NY, USA), pp. 15-20, Feb 2013. - source
Not checked in the free run.
- cites [198] [198] A. Bentaleb, A. C. Begen, and R. Zimmermann, 'SDNDASH : Improving QoE of HTTP adaptive streaming using software defined networking,' in Proc. ACM Conference on Multimedia , pp. 1296-1305, Oct 2016. - source
Not checked in the free run.
- Interpretationreasoning§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13
The centralized node in an SDN-assisted environment has a comprehensive view of the streaming multimedia service.
“That way, the centralized node in an SDN-assisted environment has a comprehensive view of the streaming multimedia service.”
Quote in the paperSubstantial claim - Interpretationreasoning§ C. QoE-Centric Routing Mechanisms using SDN/NFV · p. 16
Subject to traffic demands and network constraints, the controller can select a path that can maximize QoE for DASH clients.
“Subject to traffic demands and network constraints, the controller can select a path that can maximize QoE for DASH clients.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13
Relevant quality parameters from both the network and the client side can be collected using a centralized node.
“Relevant quality parameters from both the network and the client side can be collected using a centralized node.”
Quote in the paperSubstantial claim - Interpretationcitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10
Collaboration among OTTP and ISPs requires an interface for exchange of information among the two entities.
“Nonetheless, this calls for collaboration among OTTP and ISPs, which indeed requires an interface for the exchange of information among the two entities [2].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] [2] A. Ahmad, A. Floris, and L. Atzori, 'QoE-aware service delivery: A joint-venture approach for content and network providers,' in 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX) , pp. 1-6, June 2016. - source
Not checked in the free run.
- Interpretationreasoning§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13
It is possible to select the best bitrate for each client to optimize an objective function that includes models of the users' QoE.
“It is hence possible to select the best bitrate for each client to optimize an objective function that includes models of the users' QoE.”
Quote in the paperSubstantial claim - Premisecitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17
SDN switches are incapable of handling a large volume of flow rules because complex rule matching in SDN/NFV, such as wildcards, requires switches to store rules in TCAM, which is expensive and limited in size.
“In fact, SDN switches are incapable of handling a large volume of flow rules because the complex rule matching in SDN/NFV, such as wildcards, requires switches to store rules in Ternary Content Addressable Memory (TCAM), which is expensive [228] and limited in size (e.g., practically supporting 2k-20k rules as demonstrated by [229]).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [228] [228] L. Luo, H. Yu, and S. Luo, 'Achieving Fast and Lightweight SDN Updates with Segment Routing,' IEEE Global Communications Conference (GLOBECOM), , pp. 1-6, Dec 2016. - source
Not checked in the free run.
- cites [229] [229] T.-S. Chen, D.-Y. Lee, T.-T. Liu, and A.-Y. Wu, 'Dynamic Reconfigurable Ternary Content Addressable Memory for OpenFlow-Compliant Low-Power Packet Processing,' IEEE Transactions on Circuits and Systems , vol. 63, pp. 1661-1672, Oct 2008. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23
Viewport-dependent solutions have been proposed for 360 video streaming, because they can reduce the bandwidth required to stream the video.
“In these approaches, viewport-dependent solutions [287], [288] have been proposed for 360 video streaming, because they can reduce the bandwidth required to stream the video.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [287] [287] J. Ryoo, K. Yun, D. Samaras, S. R. Das, and G. Zelinsky, 'Design and evaluation of a foveated video streaming service for commodity client devices,' in In Proceedings of the 7th International Conference on Multimedia Systems (MMSys'16) , (Klagenfurt, Austria), pp. 1-6, May 2016. - source
Not checked in the free run.
- cites [288] [288] F. Qian, L. Ji, B. Han, and V. Gopalakrishnan, 'Optimizing 360 video delivery over cellular networks,' in In Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges (ATC'16) , (New York, NY), pp. 1-6, May 2016. - source
Not checked in the free run.
- Premisecitation§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18
Passive monitoring at the user terminal may provide a solution to capture context and human influence factors (not commonly available to ISPs due to end-to-end encryption) for more accurate prediction of QoE measurements.
“Moreover, the passive monitoring at the user terminal may also provide a solution to capture the context and human influence factors (not commonly available to ISPs due to end-to-end encryption) for more accurate prediction of the QoE measurements [240], [241].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [240] [240] A. Ahmad, L. Atzori, and M. G. Martini, 'Qualia: A multilayer solution for QoE passive monitoring at the user terminal,' in 2017 IEEE International Conference on Communications (ICC) , pp. 1-6, May 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [241] [241] A. Ahmad, A. Floris, and L. Atzori, 'Towards QoE Monitoring at User Terminal: A Monitoring Approach based on Quality Degradation,' in 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) , pp. 1-6, June 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18
Network-wide operations such as VSSs placement for video streaming services, traffic rerouting, link-aggregation, and traffic prioritization can be performed in a QoE-aware fashion for the OTTP services through collaborative QoE management.
“The network-wide operations such as Virtual Surrogate Servers (VSSs) placement for video streaming services, traffic rerouting, link-aggregation, and traffic prioritization can be performed in a QoE-aware fashion for the OTTP services through collaborative QoE management [242].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [242] [242] A. Ahmad, A. Floris, and L. Atzori, 'Timber: An SDN based emulation platform for QoE Management Experimental Research,' in 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) , pp. 1-6, May 2018. - source
Not checked in the free run.
- Premisecitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 23
The video rate adaptation of HAS clients can also be complicated by ICN.
“As shown by Lederer et al. [280], the video rate adaptation of HAS clients can also be complicated by ICN.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [280] [280] S. Lederer, C. Müller, B. Rainer, C. Timmerer, and H. Hellwagner., 'Adaptive Streaming over HTTP in Content Centric Networks,' IEEE International Conference on Multimedia and Expo (ICME) , pp. 1-6, Aug 2013. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 23
The client in ICN is not aware of the node, such as the original server that provides the content.
“This is so because the client in ICN is not aware of the node, such as the original server that provides the content.”
Quote in the paperSubstantial claim - Interpretationcitation§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29
The distributed controller design that logically maintains a centralized view becomes the only solution to meet high reliability and scalability requirements in SDN-based networks.
“While that is the case, the distributed controller design that logically maintains a centralized view [369], becomes the only solution to meet high reliability, scalability requirements in SDN-based networks [370].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [369] [369] M. T. I. ul Huque, W. Si, G. Jourjon, and V. Gramoli, 'Large-Scale Dynamic Controller Placement,' IEEE Transactions on Network and Service Management , vol. 14, pp. 63-76, March 2017. -
Not checked in the free run.
- cites [370] [370] A. Ksentini, M. Bagaa, and T. Taleb, 'On Using SDN in 5G: The Controller Placement Problem,' in 2016 IEEE Global Communications Conference (GLOBECOM) , pp. 1-6, Dec 2016. -
Not checked in the free run.
- Interpretationreasoning§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29
Efficient placement of VNF nodes on the NFVI plays a crucial role in reducing latency and further improving the end-users' QoE.
“Therefore, efficient placement of VNF nodes on the NFVI especially for scenarios such as users served by mobile IoTenabled devices or users traveling in train at high speed plays a crucial role in reducing latency and further improving the end-users' QoE.”
Quote in the paperSubstantial claim- Rests on an assumption: Cloud gaming is a delay-sensitive multimedia application.
- Interpretationcitation§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29
The centralized controller design might create further scalability issues, especially in IoT-like networks with a large number of hosts.
“Also, the centralized controller design might create further scalability issues, especially in IoT-like networks with a large number of hosts [368].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [368] [368] F. Bannour, S. Souihi, and A. Mellouk, 'Scalability and Reliability Aware SDN Controller Placement Strategies,' in 2017 13th International Conference on Network and Service Management (CNSM) , (Tokyo, Japan), pp. 1-6, Nov 2017. -
Not checked in the free run.
- Premisenone given§ B. QoE in Cloud Gaming Video Streaming Applications · p. 25
Cloud gaming can benefit from SDN by providing an optimized flow distribution.
“Cloud gaming can benefit a lot from new emerging technologies such as SDN by providing an optimized flow distribution.”
Quote in the paperNot a substantial claim- Rests on an assumption: Cloud gaming is a delay-sensitive multimedia application.
- Rests on an assumption: Cloud gaming and passive gaming video streaming have different network requirements and constraints, requiring different network management schemes.
- Interpretationnone given§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29
Current placement and optimization solutions consider techniques such as open search and performance metrics such as mobility, network load, QoS/QoE or latency, but do not take into account the joint placement problems of SDN controller and VNFs and VNFMs.
“Although some of the current placement and optimization solutions consider techniques such as open search and performance metrics such as mobility, network load, QoS/QoE or latency as shown in Table X, these proposals still do not take into account the joint placement problems of SDN controller and that of VNFs and VNFMs.”
Quote in the paperSubstantial claim - Premisecitation§ A. QoE Management and Orchestration Challenges · p. 26
The emergence of SDN, wireless network virtualization (WNV) and cloud radio access network (C-RAN) provide a connecting and powerful network management mechanism for future heterogeneous wireless network environments.
“The emergence of SDN, wireless network virtualization (WNV) and cloud radio access network (C-RAN) provide a connecting and powerful network management mechanism for future heterogeneous wireless network environments [358].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [358] [358] E. J. Kitindi, S. Fu, Y. Jia, A. Kabir, and Y. Wang, 'Wireless Network Virtualization With SDN and C-RAN for 5G Networks: Requirements, Opportunities, and Challenges,' IEEE Access , vol. 5, pp. 19099 -19115, 2017. -
Not checked in the free run.
- Premisecitation§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29
Placing the NFVO and VNFM in a large-scale distributed system is a very challenging task due to the negative impact on performance and operational cost.
“Concerning NFV, placing the NFVO and VNFM in a largescale distributed system is a very challenging task, due to the negative impact on performance and operational cost [372].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [372] [372] M. J. Abdel-Rahman, E. A. Mazied, K. Teague, A. B. MacKenzie, and S. F. Midkiff, 'Robust controller placement and assignment in softwaredefined cellular networks,' in 2017 26th International Conference on Computer Communication and Networks (ICCCN) , pp. 1-9, July 2017. - source
Not checked in the free run.
- Classified as probably not a substantial claim. 117
- May combine two claims. 45
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 23The DASC overcomes the network bottlenecks by converging progressively to the best available video quality.
“Authors report that the DASC overcomes the network bottlenecks by converging progressively to the best available video quality.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [318] [318] Y. Liu, J. Geurts, J. Point, S. Lederer, B. Rainer, C. Müller, C. Timmerer, and H. Hellwagner, 'Dynamic adaptive streaming over CCN: A caching and overhead analysis,' in 2013 IEEE International Conference on Communications (ICC) , pp. 3629-3633, June 2013. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 23The upper bound for the average bitrate the clients can obtain is found, assuming that the network and streaming characteristics are known a priori.
“The upper bound for the average bitrate the clients can obtain is found, assuming that the network and streaming characteristics are known a priori.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [282] [282] B. Rainer, D. Posch, and H. Hellwagner, 'Investigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN,' IEEE Journal on Selected Areas in Communications , vol. 34, pp. 2130-2140, Aug 2016. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22Using DASCache, the best experience for users is achieved in varying network conditions by switching to videos with better resolution.
“Authors show that using DASCache, the best experience for users is achieved in varying network conditions by switching to videos with better resolution.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [279] [279] W. Li, S. M. A. Oteafy, and H. S. Hassanein, 'Dynamic adaptive streaming over popularity-driven caching in information-centric networks,' in 2015 IEEE International Conference on Communications (ICC) , pp. 5747-5752, June 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 24Making use of mulsemedia increases the overall user enjoyment levels by up to 77%.
“The impact of intensity of certain mulsemedia components, including haptic and air-flow on user-perceived experience are extensively studied in [295], where making use of mulsemedia increases the overall user enjoyment levels by up to 77%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [295] [295] Z. Yuan, S. Chen, G. Ghinea, and G.-M. Muntean, 'User Quality of Experience of Mulsemedia Applications,' ACM Trans. Multimedia Comput. Commun. Appl. , vol. 11, pp. 15:1-15:19, Oct. 2014. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23The results from this study indicate that the frame rate have a smaller effect in VR applications with regards to improving the end-user's QoE.
“The results from this study indicate that the frame rate have a smaller effect in VR applications with regards to improving the end-user's QoE.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [321] [321] M. Gandy, R. Catrambone, B. MacIntyre, C. Alvarez, E. Eiriksdottir, M. H. B. Davidson, and A. C. McLaughlin, ' Experiences with an AR evaluation test bed: Presence, performance, and physiological measurement,' in In Proceedings of the 2010 IEEE International Symposium on Mixed and Augmented Reality , pp. 127-136, November 2010. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationreasoning§ B. Server And Network assisted DASH (SAND) · p. 9SDN can be used to provide a centralized control element for practical and scalable implementation of SAND.
“For the practical and scalable implementation of the SAND approach, SDN can be used to provide a centralized control element.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ TABLE III: SOME OF THE COMMONLY USED IMAGE AND VIDEO QA MODELS. · p. 6A QoE-driven service adaptation and network optimization mechanism using resource allocation was proposed in [62] based on the 3GPP IP Multimedia Subsystem architecture.
“A QoE-driven service adaptation and network optimization mechanism using resource allocation was proposed in [62] based on the 3GPP IP Multimedia Subsystem architecture”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] [62] L.Skorin-Kapov and M. Matijasevic, 'Modeling of a QoS matching and optimization function for multimedia services in the NGN,' in Proceedings of the 12th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: WiredWireless Multimedia Networks and Services Management (MMNS'09) , (Italy), pp. 55-64, Oct 2009. -
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ A. HTTP Adaptive Streaming (HAS) Solutions · p. 83GPP in close collaboration with MPEG has developed the DASH standard.
“However, due to the disparity of these proprietary HAS solutions and the media formats, the 3GPP in close collaboration with MPEG has developed the Dynamic Adaptive Streaming over HTTP (DASH) standard [100].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [100] [100] ISO/IEC 23009-1:2014, 'Preview Information technology - Dynamic adaptive streaming over HTTP (DASH) - Part 1: Media presentation description and segment formats.' https://www.iso.org/standard/65274. html, 2017. [Online: Accessed 06-September-2019]. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10Currently, there are ongoing QoS based collaborations between OTTP and ISPs concerning peering agreements and OTTP's surrogate server hosting in ISP's network depending on agreement.
“Currently, there are ongoing QoS based collaborations between the OTTP and ISPs concerning peering agreements and OTTP's surrogate server (SS) hosting in ISP's network depending on the agreement [112].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [112] [112] A. Ahmad, A. Floris, and L. Atzori, 'OTT-ISP Joint service management: a customer lifetime value based approach,' in IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017 , pp. 1017-1022, 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10Multimedia content delivery operations on OTTP side can be broadly divided into client request redirection and content distribution and replication.
“The multimedia content delivery operations on the OTTP side can be broadly divided into two categories: 1) Client request redirection and; 2) Content distribution and replication [115].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] [115] A. Passarella, 'A survey on content-centric technologies for the current Internet: CDN and P2P solutions,' Computer Communications , vol. 35, no. 1, pp. 1-32, 2012. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ B. QoE Modeling and Assessment: Metrics and Models · p. 5Full Reference (FR) metrics are usually more accurate than Reduced Reference (RR) and No-reference (NR) metrics.
“Due to full access to source information, FR metrics are usually more accurate than RR and NR metrics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ A. Related Work and Motivation · p. 3Recent efforts exploring QoE management using SDN and/or NFV are limited in scope because they do not provide different architectural approaches, implementations and deployment strategies for QoE management using SDN and/or NFV.
“3) with regard to scope, they do not provide different architectural approaches, implementations and deployment strategies for QoE management using SDN and/or NFV;”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ C. Multimedia Delivery Chain and Service Management Issues · p. 10In this case, OTTP cannot deliver adequate quality to end users while ISP has to transport data through non-optimal path since no information is shared between OTTP and ISPs.
“In this case, the OTTP cannot deliver adequate quality to the end users while the ISP has to transport data through a non-optimal path since no information is being shared between the OTTP and ISPs.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ TABLE IV: A COMPARISON OF HTTP ADAPTIVE STREAMING SOLUTIONS. · p. 9In the presence of multiple DASH clients competing for shared network resources, HAS suffers from video instability due to bitrate switching, network resource underutilization, and QoE unfairness.
“Despite the decentralized nature of the HAS principle, there are still some drawbacks especially in the presence of multiple DASH clients that compete for the shared network resources. Some of the HAS related issues include (1) video instability due to bitrate switching [105], (2) network resource underutilization, and (3) QoE unfairness [106].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [105] [105] D. Z. Rodríguez, Z. Wang, R. L. Rosa, and G. Bressan, 'The impact of video-quality-level switching on user quality of experience in dynamic adaptive streaming over HTTP,' EURASIP Journal on Wireless Communications and Networking , vol. 2014, no. 1, 2014. - source
Not checked in the free run.
- cites [106] [106] A. Bentaleb, A. C. Begen, R. Zimmermann, and S. Harous, 'SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming,' IEEE Transactions on Multimedia , vol. 19, pp. 2136-2151, Oct 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ B. Server And Network assisted DASH (SAND) · p. 9SAND is an extension of the MPEG-DASH standard that has been recently finalized.
“Server and Network assisted DASH (SAND) is an extension of the MPEG-DASH standard that has been recently finalized, [109], [110] to enhance the delivery of DASH content.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [109] [109] 'ISO/IEC 23009-5: Information Technology -Dynamic Adaptive Streaming over HTTP (DASH) - Part 5: Server and Network Assisted DASH (SAND). Standard,' Feb 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [110] [110] E. Thomas, M. O. van Deventer, T. Stockhammer, A. C. Begen, and J. Famaey, 'Enhancing MPEG DASH Performance via Server and Network Assistance,' SMPTE Motion Imaging Journal , vol. 126, pp. 22-27, Jan 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ C. Multimedia Delivery Chain and Service Management Issues · p. 10In the collaboration scheme mentioned above, ISPs only have multi-hop peering connections with the Autonomous System.
“However, in the collaboration scheme mentioned above, the ISPs only have multi-hop peering connections with the Autonomous System (AS) 4 .”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10Request redirection mechanism can be based either on DNS unicast or on combination of DNS and anycast for assignment of most nearby server to clients.
“The request redirection mechanism can be based either on Domain Name System (DNS) unicast or on a combination of DNS and anycast for assignment of the most nearby server to the clients [116].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [116] [116] M. Wichtlhuber, R. Reinecke, and D. Hausheer, 'An SDN-based CDN/ISP collaboration architecture for managing high-volume flows,' IEEE Transactions on Network and Service Management , vol. 12, no. 1, pp. 48-60, 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ TABLE III: SOME OF THE COMMONLY USED IMAGE AND VIDEO QA MODELS. · p. 6The main challenges with regards to QoE optimization and control may be summarized in the answers to four questions: what key quality parameters to optimize and control; where to control; when to perform QoE optimization and control; and how often to control and optimize QoE.
“As stated in [8], the main challenges that arise with regards to QoE optimization and control may be summarized in the answers to the following four questions: (1) What key quality parameters to optimize and control? (2) Where to control (e.g., at the client, server and the network side)? (3) When to perform QoE optimization and control (e.g., during the service, that is, on-line control or in an”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] [8] S. Barakovi´ c and L. Skorin-Kapov, 'Survey and Challenges of QoE Management Issues in Wireless Networks,' Journal of Computer Networks and Communications , vol. 2013, pp. 1-28, Dec 2013. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [19] [19] Y. Wang, P. Li, L. Jiao, Z. Su, N. Cheng, X. S. Shen, and P. Zhang, 'A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks,' IEEE Wireless Communications Magazine , vol. 24, pp. 102-110, Nov 2016. - source
Not checked in the free run.
May combine two claims.
Interpretationnone given§ C. Multimedia Delivery Chain and Service Management Issues · p. 10DNS based request redirection relies only on link layer information for CDN/SS assignment to clients, which does not allow it to react to congestion in ISP's network.
“However, the DNS based request redirection relies only on the link layer-information for CDN/SS assignment to the clients, which does not allow it to react to the congestion in the ISP's network.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ D. QoE Optimization and Control · p. 5QoE management of multimedia services involves continuous optimization and dynamic control of relevant mechanisms from content generation to content consumption along the service delivery chain.
“The QoE management of multimedia services, as shown in Fig. 4, involves continuous optimization and dynamic control of relevant mechanisms, from content generation to content consumption, along the service delivery chain.”
Quote in the paperNot a substantial claim- Rests on an assumption: QoS metrics are not explicitly and directly linked with a customer's satisfaction of a service.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10Google is providing peering connections for ISPs through IXPs, and Surrogate Servers are being provided under the Google Global Cache program.
“For example, Google is providing peering connections for ISPs through IXPs, and also Surrogate Servers (SSs) are being provided under the Google Global Cache (GCC) program 2 .”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ A. Related Work and Motivation · p. 3Recent efforts exploring QoE management using SDN and/or NFV are limited by a lack of comprehensive descriptions of ongoing research projects, state-of-the-art efforts, challenges and concrete research directions in SDN and/or NFV and emerging multimedia services and applications in future networks.
“2) lack of comprehensive descriptions of ongoing research projects, state-of-the-art efforts, challenges as well as concrete research directions in SDN and/or NFV, and emerging multimedia services and applications in future networks;”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ B. Server And Network assisted DASH (SAND) · p. 9MPEG-SAND messages are delivered over HTTP using XML format and follow a specific syntax as defined by the standard.
“It is important to note that the MPEG-SAND messages are delivered over HTTP using the XML format and follow a specific syntax as defined by the standard in [109].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] [109] 'ISO/IEC 23009-5: Information Technology -Dynamic Adaptive Streaming over HTTP (DASH) - Part 5: Server and Network Assisted DASH (SAND). Standard,' Feb 2017. -
Not checked in the free run.
May combine two claims.
Interpretationcitation§ I. INTRODUCTION · p. 2SDN and NFV may enable network management to be automated and ensure that end users' QoS/QoE requirements and Experience Level Agreement (ELA) are fulfilled in heterogeneous environments.
“Indeed, SDN and NFV may enable network management to be automated and ensure that the end users' QoS/QoE requirements as well as Experience Level Agreement (ELA) 1 are fulfilled in the heterogeneous environments [23].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] [23] F. Z. Yousaf, M. Bredel, S. Schaller, and F. Schneider, 'NFV and SDNKey Technology Enablers for 5G Networks,' IEEE Journal on Selected Areas in Communications , vol. 35, pp. 2468 -2478, Nov 2017. - source
Not checked in the free run.
- Rests on an assumption: Future networks are shifting towards the cloudification of network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV).
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ I. INTRODUCTION · p. 1QoE management remains a challenging task due to many issues, which can be categorized into four aspects.
“Despite these efforts, QoE management remains a challenging task due to many issues [8], [10] which can be categorized into four different aspects, as illustrated in Fig. 1.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] [8] S. Barakovi´ c and L. Skorin-Kapov, 'Survey and Challenges of QoE Management Issues in Wireless Networks,' Journal of Computer Networks and Communications , vol. 2013, pp. 1-28, Dec 2013. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [10] [10] J. Liu, S. Zhang, N. Kato, H. Ujikawa, and K. Suzuki, 'Device-todevice communications for enhancing quality of experience in software defined multi-tier LTE-A networks,' IEEE Network , vol. 29, no. 4, pp. 46-52, 2015. - source
Not checked in the free run.
- Rests on an assumption: Highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10Netflix is providing private peering connections and SSs to collaborating ISPs under the Netflix Open Connect program.
“Similarly, Netflix is providing private peering connections and SSs to the collaborating ISPs under the Netflix Open Connect program 3 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] [3] D. Rivera, N. Kushik, C. Fuenzalida, A. Cavalli, and N. Yevtushenko, 'QoE Evaluation based on QoS and QoBiz Parameters applied to an OTT service,' in IEEE International Conference on Web Services , (New York, NY, USA), pp. 57-64, 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10The multimedia service delivery chain involves OTTP, ISPs, CDNs, transit providers and IXPs, where each entity has a different role depending on mutual agreements.
“The multimedia service delivery chain involves several entities which include OTTP, ISPs, CDNs, transit providers and IXPs, where each entity has a different role depending on their mutual agreements [111].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [111] [111] C.-L. Yeh, 'Conceptualized framework for regulation of OTT video services: A new battlefield of interconnection and peering,' 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet Emerging Markets and Policies 106896, International Telecommunications Society (ITS), 2014. -
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ C. Multimedia Delivery Chain and Service Management Issues · p. 10If content is not available in last mile SS, client is served by CDN/SS located far from client's location, leading to cache misses and higher end-to-end delay which can decrease delivered quality.
“However, if the content is not available in the last mile SS, the client is served by the CDN/SS located far from the client's location. This can lead to cache misses and higher end-to-end delay which can decrease the delivered quality.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone given§ C. Summary · p. 13Both SDN and NFV seek to create a future software-based networking solution that offers flexible and automated network connectivity and QoE provisioning to end-users.
“It is worth noting that both SDN and NFV seek to create a future software-based networking solution that offers flexible and automated network connectivity and QoE provisioning to the end-users.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ V. QOE MANAGEMENT USING SDN AND NFV · p. 13Recent attention has been towards developing approaches that fully optimize video quality and maximize QoE while ensuring fairness among users.
“In recent years, the attention has been towards developing approaches that fully optimize the video quality [192], [107] and maximize the QoE while ensuring fairness among users [193]-[195].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [192] [192] M. Xiao, V. Swaminathan, S. Wei, and S. Chen, 'DASH2M: Exploring HTTP/2 for Internet Streaming to Mobile Devices,' in Proceedings of the 24th ACM International Conference on Multimedia , (Amsterdam, The Netherlands), pp. 22-31, Oct 2016. - source
Not checked in the free run.
- cites [107] [107] G. Cofano, L. D. Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo., 'Design and Experimental Evaluation of Networkassisted Strategies for HTTP Adaptive Streaming,' ACM Transactions on Multimedia Computing, Communications, and Applications , vol. 35, pp. 1-24, Nov 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [193]-[195]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13SDN can be used to provide a centralized control element for practical and scalable implementation of network-assisted QoE optimization.
“For the practical and scalable implementation of this approach, SDN can be used to provide a centralized control element.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17These paths can be expressed by the segment routing strategy into SR paths, using the segment label list.
“These paths can be expressed by the segment routing strategy into SR paths, using the segment label list as shown in [157], [232].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [157] [157] A. A. Barakabitze, I. Mkwawa, L. Sun, and E. Ifeachor, 'QualitySDN: Improving Video Quality using MPTCP and Segment Routing in SDN/NFV,' in 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft) , pp. 182-186, June 2018. - source
Not checked in the free run.
- cites [232] [232] A. A. Barakabitze, L. Sun, I.-H. Mkwawa, and E. Ifeachor, 'A Novel QoE-Centric SDN-based Multipath Routing Approach of Mutimedia Services over 5G Networks,' in IEEE International Conference on Communications, , (Kansas City, MO, USA), May 2018. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17Global SIDs are recognized by all network nodes, while local SIDs are only known to the node associated with the SID.
“Global SIDs are recognized by all network nodes, while local SIDs are only known to the node associated with the SID as demonstrated in [230], [231].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [230] [230] D. Luca, V. Luca, V. Pier Luigi, S. Giuseppe, and S. Stefano, 'Traffic Engineering with Segment Routing: SDN-based Architectural Design and Open Source Implementation,' Fourth European Workshop on Software Defined Networks (EWSDN), , Sept 2015. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [231] [231] C. Filsfils, N. K. Nainar, C. Pignataro, J. C. Cardona, and P. Francois, 'The Segment Routing Architecture,' in IEEE Global Communications Conference (GLOBECOM) , (San Diego, CA, USA), Feb 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17The IETF proposed the Segment Routing (SR) paradigm to provide TE solutions by simplifying the control plane where SDN/NFV switches no longer need to maintain routing information.
“To overcome these limitations, the IETF proposed the Segment Routing (SR) paradigm to provide TE solutions by simplifying the control plane where SDN/NFV switches no longer need to maintain routing information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17TCAM extensively consumes power and is usually considered as an expensive resource to be developed.
“TCAM extensively consumes power and is usually considered as an expensive resource to be developed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17With SR, a host or an edge router can steer a packet through the network using an ordered list of processing/forwarding functions called segments.
“With SR, a host or an edge router can steer a packet through the network using an ordered list of processing/forwarding functions called segments.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ B. QoE-Fairness and Personalized QoE-centric Control in SDN · p. 15Some approaches discussed in V-A, such as [107], address QoE-fairness based on the SAND architecture.
“Note that, some of the approaches discussed in the previous section V-A, such as [107], address QoE-fairness based on the SAND architecture.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [107] [107] G. Cofano, L. D. Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo., 'Design and Experimental Evaluation of Networkassisted Strategies for HTTP Adaptive Streaming,' ACM Transactions on Multimedia Computing, Communications, and Applications , vol. 35, pp. 1-24, Nov 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10OTTP services utilizing Akamai CDNs deliver content based on flat organization where cache misses is avoided by fetching content directly from original server.
“On the other hand, the OTTP services utilizing Akamai CDNs deliver the content based on the flat organization where cache misses is avoided by fetching the content directly from the original server [119].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [119] [119] E. Nygren, R. K. Sitaraman, and J. Sun, 'The Akamai Network: a Platform for High-Performance Internet Applications,' ACM SIGOPS Operating Systems Review , vol. 44, no. 3, pp. 2-19, 2010. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ B. Network Function Virtualization (NFV) · p. 13Most NFV use cases are based on those defined by ETSI.
“Most of these use cases are based on those defined by the ETSI [156].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [156] [156] 'ETSI GS NFV 001 V1.1.1: Network function virtualization. Use cases, ETSI Ind. Spec. Group (ISG) Netw. Functions Virtualisation (NFV).' http://www.etsi.org/deliver/etsi\_gs/nfv/001\_099/001/01. 01.01\_60/gs\_nfv001v010101p.pdf, Oct 2013. [Online: Accessed 06September-2019]. -
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ C. Summary · p. 13SDN requires a new network platform where the control and data forwarding planes are decoupled.
“SDN requires a new network platform where the control and data forwarding planes are decoupled.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationreasoning§ B. QoE-Fairness and Personalized QoE-centric Control in SDN · p. 15The SDN controller can easily detect player-specific events, such as players joining/leaving the network and starting/stopping the playback.
“In this way, the controller can easily detect playerspecific events, such as players joining/leaving the network and starting/stopping the playback.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ C. QoE-Centric Routing Mechanisms using SDN/NFV · p. 16The clients and content server report the QoE values to the SDN applications, which in turn use the reported QoE values and IFs to prepare the needed input for the SDN controller.
“The clients and content server report the QoE values to the SDN applications, which in turn use the reported QoE values and IFs to prepare the needed input for the SDN controller.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17SDN-based MPTCP implementations can improve network throughput and meet the end-users' QoE.
“SDN-based MPTCP implementations can improve network throughput and meet the end-users' QoE.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ C. Summary · p. 13NFV decouples NFs from dedicated hardware devices.
“while SDN decouples the control plane from the data/packet forwarding plane, the NFV decouples NFs from dedicated hardware devices.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisereasoning§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13SAND enables service providers and operators to improve network bandwidth utilization and enhance end-users' video streaming experience.
“It also enables service providers and operators to improve network bandwidth utilization and enhance the end-users' video streaming experience.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ C. Summary · p. 13NFV can run on legacy networks since NFs can reside on commodity servers.
“This is not the case with NFV which can run on legacy networks since NFs can reside on commodity servers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ V. QOE MANAGEMENT USING SDN AND NFV · p. 13Many studies have focused on enhancing QoE by optimizing video quality adaptation algorithms on the client and/or server-side.
“Many studies have been focusing on enhancing the QoE by optimizing the video quality adaptation algorithms on the client and/or the server-side [6], [191].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] [6] M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hoßfeld, and P. TranGia, 'A Survey on Quality of Experience of HTTP Adaptive Streaming,' IEEE Communications Surveys & Tutorials , vol. 17, pp. 469-492, First quarter 2015. - source
Not checked in the free run.
- cites [191] [191] Y. Sani, A. Mauthe, and C. Edwards, 'Adaptive Bitrate Selection: A Survey,' IEEE Communication Surveys & Tutorials , vol. 19, pp. 29853014, July 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17One solution to reduce cost could be the common usage of MPTCP and SR.
“Therefore, one solution to reduce the cost could be the common usage of MPTCP and SR.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17Service providers have adopted SDN/NFV to implement traffic engineering to improve network efficiency, application performance, and end-user QoE.
“As multimedia services/applications continue to grow, SPs have adopted SDN/NFV to implement TE to improve the network efficiency, application performance, and the end-user QoE.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisereasoning§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17The list of Segment IDentifiers (SIDs) forms a chain of elements where packets are routed within an SDN/NFV system.
“The list of Segment IDentifiers (SIDs) forms a chain of these elements where packets are routed within an SDN/NFV system.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17MPTCP has emerged as the transport protocol capable of creating multiple subflows and distributing them over multiple disjoint paths in the network such that all the links are optimally loaded.
“MPTCP has emerged as the transport protocol capable of creating multiple subflows and distributing them over multiple disjoint paths in the network such that all the links are optimally loaded.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. Multimedia Delivery Chain and Service Management Issues · p. 10Google has implemented a hierarchical distribution of content for YouTube and other Google services.
“For example, Google has implemented a hierarchical distribution of content for YouTube and other Google services [117], [118].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [117] [117] Google, 'Google Edge Network.' https://peering.google.com/. (Online: Accessed 06-September-2019). -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [118] [118] V. K. Adhikari, S. Jain, Y. Chen, and Z. Zhang, 'Vivisecting YouTube: An active measurement study,' in 2012 Proceedings IEEE INFOCOM , pp. 2521-2525, March 2012. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ B. QoE-Fairness and Personalized QoE-centric Control in SDN · p. 15Approaches discussed in subsection V-B are only based on the SDN controller to control and manage QoE requirements of competing clients.
“This is different from the approaches discussed in this subsection that are only based on the SDN controller to control and manage QoE requirements of the competing clients.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17Storing a large number of rules is the main limitation of SDN/NFV switches which can be alleviated by using SR where a logical path of MPTCP subflows can be expressed as a sequence of segments between the ingress and egress network nodes.
“Storing a large number of rules is the main limitation of SDN/NFV switches which can be alleviated by using SR where a logical path of MPTCP subflows can be expressed as a sequence of segments between the ingress and egress network nodes (e.g., a switch/router/link).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18Studies in [240]-[243] propose that QoE monitoring should be performed by the OTTP because they have their applications installed in the user terminal.
“The studies conducted in [240]-[243] propose that the QoE monitoring should be performed by the OTTP because they have their applications installed in the user terminal.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [240]-[243]
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ B. Network Function Virtualization (NFV) · p. 13All existing NFV implementations and platforms focus on open source and orchestration of an operator's end-to-end service over NFVI supported by SDN and cloud technologies.
“It is worth noting that all of the existing NFV implementations and platforms are focusing on open source and orchestration of operator's end-to-end service over NFVI supported by SDN and cloud technologies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ IV. NETWORK SOFTWARIZATION AND VIRTUALIZATION: THE PROMISE OF SDN AND NFV IN FUTURE NETWORKS · p. 11Network softwarization and virtualization using SDN and NFV is expected to impact several aspects in development and deployment of network services, such as CDN and video accelerators.
“Network softwarization [122] and virtualization using SDN and NFV is expected to impact several aspects in the development and deployment of network services, such as CDN and video accelerators [123], [124].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [122] [122] I. Afolabi, T. Taleb, K. Samdanis, A. Ksentini, and H. Flinck, 'Network slicing & softwarization: A survey on principles, enabling technologies & solutions,' IEEE Surveys and Tutorials , vol. 20, pp. 2429-2453, March 2018. - source
Not checked in the free run.
- cites [123] [123] P. A. Frangoudis, L. Yala, A. Ksentini, and T. Taleb, 'An architecture for on-demand service deployment over a Telco CDN,' in 2016 IEEE International Conference on Communications (ICC) , pp. 1-6, May 2016. - source
Not checked in the free run.
- cites [124] [124] S. Retal, M. Bagaa, T. Taleb, and H. Flinck, 'Content delivery network slicing: QoE and cost awareness,' in 2017 IEEE International Conference on Communications (ICC) , (Paris), pp. 1-6, May 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationreasoning§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17Common usage of MPTCP and SR would offer flexibility, reliability, scalability and improve the end-user QoE in SDN/NFV networks.
“Such a solution would also offer flexibility, reliability, scalability and improve the end-user QoE in SDN/NFV networks.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17To guarantee end-users' QoE-fairness level and performance requirements of SDN/NFV-based networks, the controller checks the available capacity of all connected paths and selects the shortest paths to transmit the subflows of the same MPTCP connection.
“To guarantee the end-users' QoE-fairness level and performance requirements of SDN/NFV-based networks, the controller checks the available capacity of all connected paths and selects the shortest paths to transmit the subflows of the same MPTCP connection.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13Most research works following the SAND approach share a similar architecture.
“Most research works following this approach share a similar architecture, as shown in Fig 13.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17MPTCP-based SDN/NFV implementations enable load balancing, reliable communications, and better network resources utilization that lead to higher system throughput and end-users' QoE.
“MPTCP-based SDN/NFV implementations enable load balancing, reliable communications, and better network resources utilization that lead to higher system throughput and end-users' QoE [226].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [226] [226] J. Wu, C. Yuen, B. Cheng, M. Wang, and J. Chen, 'Streaming High-Quality Mobile Video with Multipath TCP in Heterogeneous Wireless Networks,' IEEE Transactions on Mobile Computing , vol. 15, pp. 2345-2361, Sep. 2016. -
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ C. Multimedia Delivery Chain and Service Management Issues · p. 10In worst case, client assigned to CDN outside ISP's network decreases quality and results in high cost for ISP and increased network load in ISP's core network.
“In the worst case, the client is assigned to a CDN outside the ISPs network which will not only decrease the quality but also results in a high cost for the ISP and an increased network load in the ISP's core network.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ A. Server and Network-assisted Optimization Approaches using SDN · p. 13SAND enables HAS based streaming solutions to provide a fair distribution of bandwidth among users.
“SAND enables HAS based streaming solutions to provide a fair distribution of bandwidth among users.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ C. Summary · p. 13SDN decouples the control plane from the data/packet forwarding plane.
“while SDN decouples the control plane from the data/packet forwarding plane, the NFV decouples NFs from dedicated hardware devices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ V. QOE MANAGEMENT USING SDN AND NFV · p. 13Many SDN/NFV based solutions have been proposed, implemented and tested to see the value and benefits offered by these technologies.
“As of today, many SDN/NFV based solutions have been proposed, implemented and tested to see the value and benefits offered by these technologies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ C. QoE-Centric Routing Mechanisms using SDN/NFV · p. 16The QoE measurement and collection of QoE IFs values in an SDN network is achieved through cooperation among clients, media content servers and SDN controllers.
“The QoE measurement and collection of QoE IFs values in an SDN network is achieved through the cooperation among various components including clients, media content servers and SDN controllers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ D. QoE-Aware SDN/NFV-based Mechanisms using MPTCP and Segment Routing · p. 17The scope of SIDs can be either global or local.
“The scope of these SIDs can be either global or local.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ B. QoE-Fairness and Personalized QoE-centric Control in SDN · p. 15Most works presented in subsection V-B utilize the SDN controller to manage and monitor all HAS players, their statuses, device capabilities, requested content, subscription plan types, QoE and buffer levels.
“Most of the works presented in this subsection utilize the SDN controller to manage and monitor all HAS players, their statuses, device capabilities, requested content, subscription plan types, QoE and buffer levels.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18SDN and NFV may provide an opportunity to ISP and OTTP for collaborative service management.
“SDN and NFV may provide an opportunity to ISP and OTTP for collaborative service management.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23The global market of 360 cameras is expected to grow at an annual rate of 35% between 2016 and 2020.
“For example, the global market of 360 cameras is expected to grow at an annual rate of 35% between 2016 and 2020 10”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] [10] J. Liu, S. Zhang, N. Kato, H. Ujikawa, and K. Suzuki, 'Device-todevice communications for enhancing quality of experience in software defined multi-tier LTE-A networks,' IEEE Network , vol. 29, no. 4, pp. 46-52, 2015. -
Not checked in the free run.
May combine two claims.
Premisereasoning§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23In viewpoint-dependent streaming, the portion outside the viewpoint is streamed at an average or lower quality while the part of the video watched by the user is streamed at the highest possible quality.
“In viewpoint-dependent streaming, the portion outside the viewpoint is streamed at an average or lower quality while the part of the video watched by the user is streamed at the highest possible quality.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18In the case of a flash crowd appearance, VNF with VSS can be utilized to decrease the network load and end-to-end delay for content retrieval.
“For example, in the case of a flash crowd appearance, VNF with VSS can be utilized to decrease the network load and end-to-end delay for content retrieval.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationreasoning§ VI. QOE- MANAGEMENT APPROACHES USING EMERGING ARCHITECTURES · p. 20SDN and NFV have proved to be the appealing technologies for QoE management and control in future networks.
“SDN and NFV have proved to be the appealing technologies for QoE management and control in future networks, as discussed previously in Section V.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23The user in VR is immersed in a virtual environment and can dynamically and freely decide the preferred viewpoint.
“The user in VR is immersed in a virtual environment and can dynamically and freely decide the preferred viewpoint [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] [31] S. Petrangeli, J. V. D. Hooft, T. Wauters, and F. D. Turck, 'Quality of Experience-Centric Management of Adaptive Video Streaming Services: Status and Challenges,' ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , vol. 14, pp. 2 -28, May 2018. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ F. QoE-aware/driven Approaches using Full Adoption of SDN and NFV · p. 19The use of SDN and NFV provides a higher degree of freedom regarding the placement of QoE measurement points and flexible control of multimedia traffic flows compared to approaches implemented using SDN or NFV only.
“The use of SDN and NFV provides a higher degree of freedom regarding the placement of QoE measurement points and flexible control of multimedia traffic flows compared to approaches implemented using SDN or NFV only.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22DASCache enables fast video streaming with high QoE over ICNs by minimizing the average access time per bit of video contents requested by the enduser.
“DASCache enables fast video streaming with high QoE over ICNs by minimizing the average access time per bit of video contents requested by the enduser.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [279] [279] W. Li, S. M. A. Oteafy, and H. S. Hassanein, 'Dynamic adaptive streaming over popularity-driven caching in information-centric networks,' in 2015 IEEE International Conference on Communications (ICC) , pp. 5747-5752, June 2015. - source
Not checked in the free run.
May combine two claims.
Interpretationcitation§ F. QoE-aware/driven Approaches using Full Adoption of SDN and NFV · p. 19As the adoption of SDN and NFV matures towards future 5G networks, the software-defined NFV architecture can offer an active traffic steering and joint optimization of network functions that further turns into QoE-management offerings.
“As the adoption of SDN and NFV matures towards future 5G networks, the software-defined NFV architecture [256] can offer an active traffic steering and joint optimization of network functions that further turns into QoE-management offerings [257].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [256] [256] Y. Li and M. Chen, 'Software-Defined Network Function Virtualization: A Survey,' IEEE Access , vol. 3, pp. 2542-2553, 2015. - source
Not checked in the free run.
- cites [257] [257] A. Martin, J. Egaña, J. Flórez, J. Montalbán, I. G. Olaizola, M. Quartulli, R. Viola, and M. Zorrilla, 'Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks,' IEEE Transactions on Broadcasting , vol. 64, pp. 561-574, June 2018. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23With the increasing acceptance and demand of 360 immersive videos which are of much higher size than traditional 2D videos, Internet traffic is expected to further grow in the next few years.
“With the increasing acceptance and demand of 360 immersive videos which are of much higher size than traditional 2D videos, Internet traffic is expected to further grow in the next few years.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [10] [10] J. Liu, S. Zhang, N. Kato, H. Ujikawa, and K. Suzuki, 'Device-todevice communications for enhancing quality of experience in software defined multi-tier LTE-A networks,' IEEE Network , vol. 29, no. 4, pp. 46-52, 2015. -
Not checked in the free run.
- cites [11] [11] B. Alcardo Alex and X. Tan, 'Performance Analysis of PAPR Reduction Using DFT-Spreading OFDMA Technique,' International Journal of Innovative Research in Computer and Communication Engineering , vol. 3, pp. 1401-1409, March 2015. -
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ D. Summary · p. 23ICN approaches may also combine the benefits of pervasive fine-grained caching platforms and multi-path transmissions similar to MPTCP, an advantage that entails higher throughput compared to standard TCP/IP.
“It is worth noting that ICN approaches may also combine the benefits of pervasive fine-grained caching platforms and multi-path transmissions similar to MPTCP, an advantage that entails higher throughput compared to standard TCP/IP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22DASCache can also enable users to switch to videos with better resolution.
“DASCache can also enable users to switch to videos with better resolution.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [279] [279] W. Li, S. M. A. Oteafy, and H. S. Hassanein, 'Dynamic adaptive streaming over popularity-driven caching in information-centric networks,' in 2015 IEEE International Conference on Communications (ICC) , pp. 5747-5752, June 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 19Server and network-based optimization maximizes end users' QoE through best path calculations for each service flow, optimal bitrates computation for clients to obtain QoE-fairness, and optimizing QoE by assigning different priority to a video stream depending on requested quality.
“Maximizes the end users' QoE through the best path calculations for each service flow, optimal bitrates computation for the clients so as to obtain QoE-fairness in the delivered video, Optimizing the QoE by assigning a different priority to a video stream depending on the requested quality”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone given§ D. Summary · p. 23ICN can improve the end users' QoE through edge cache prefetching mechanisms that consider network monitoring for populating a cache as per the requirements/needs ahead of the client requests.
“ICN can improve the end users' QoE through edge cache prefetching mechanisms that consider network monitoring for populating a cache as per the requirements/needs ahead of the client requests.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
Interpretationreasoning§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23As new use cases for AR and VR are introduced in the market, service providers will need to address bandwidth limitations, reduce end-to-end network latency, and improve the overall QoS/QoE for the streaming media services.
“As new use cases for AR and VR are introduced in the market, service providers will need to address bandwidth limitations, reduce end-to-end network latency, and improve the overall QoS/QoE for the streaming media services.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ VI. QOE- MANAGEMENT APPROACHES USING EMERGING ARCHITECTURES · p. 20The introduction of emerging architectures such as MEC, fog/cloud computing and ICN can greatly benefit from SDN and NFV to provide interactive and immersive video services to consumers.
“However, the introduction of emerging architectures such as MEC [14], fog/cloud computing [300], [301] and ICN can greatly benefit from SDN and NFV to provide interactive and immersive video services to consumers.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [14] [14] T. X. Tran, A. Hajisami, P. Pandey, and D. Pompili, 'Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges,' IEEE Communications Magazine, , vol. 55, pp. 54-61, April 2017. - source
Not checked in the free run.
- cites [300] [300] S. Yi, Z. Hao, Z. Qin, and Q. Li, 'Fog Computing: Platform and Applications,' in 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb) , pp. 73-78, Nov 2015. - source
Not checked in the free run.
- cites [301] [301] Y. Liu, J. E. Fieldsend, and G. Min, 'A framework of fog computing: Architecture, challenges, and optimization,' IEEE Access , vol. 5, pp. 25445-25454, Oct 2017. - source
Not checked in the free run.
- Rests on an assumption: MEC offers an environment characterized by high bandwidth and low latency for applications and content providers.
- Rests on an assumption: Both Fog computing and MEC support virtualization functions.
- Rests on an assumption: Cloud computing provides ubiquitous on-demand access to a shared pool of configurable computing resources with minimum management effort.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 19QoE-fairness and personalized QoE-centric control efficiently allocates network resources to ensure maximum users' QoE fairness is achieved.
“Efficient network resources allocation to ensure that the maximum users' QoE fairness is achieved.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18The ISP may utilize the SDN and NFV paradigm for network management operations to drive collaborative QoE management using QoE related information provided by the OTTP.
“The ISP may utilize the SDN and NFV paradigm for the network management operations to drive collaborative QoE management using QoE related information provided by the OTTP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 21Fog/cloud computing promises a distributed computing paradigm that extends the services provided by the cloud to the edge of the network.
“Fog/cloud computing [300], [301] promises a distributed computing paradigm that extends the services provided by the cloud to the edge of the network.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [300] [300] S. Yi, Z. Hao, Z. Qin, and Q. Li, 'Fog Computing: Platform and Applications,' in 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb) , pp. 73-78, Nov 2015. - source
Not checked in the free run.
- cites [301] [301] Y. Liu, J. E. Fieldsend, and G. Min, 'A framework of fog computing: Architecture, challenges, and optimization,' IEEE Access , vol. 5, pp. 25445-25454, Oct 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18ISPs may perform network-wide QoS monitoring and network policy implementation utilizing the SDN controller.
“ISPs may perform network-wide QoS monitoring and network policy implementation utilizing the SDN controller.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ F. QoE-aware/driven Approaches using Full Adoption of SDN and NFV · p. 19The corrective and preventive actions to avoid existing or potential network problems that negatively affect the endusers' QoE can be performed by SDN/NFV sensors/actuators that monitor the network.
“As envisaged by the SELFNET project, the corrective and preventive actions to avoid existing or potential network problems that negatively affect the endusers' QoE can be performed by SDN/NFV sensors/actuators that monitor the network.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites SELFNET project
Not checked in the free run.
May combine two claims.
Premisecitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23Viewpointdependent streaming can be obtained using online transcoding operations, such as using foveate-based encoding, or by spatially tiling the video.
“It is worth mentioning that viewpointdependent streaming can be obtained using online transcoding operations, such as using foveate-based encoding [287], or by spatially tiling the video [288].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [287] [287] J. Ryoo, K. Yun, D. Samaras, S. R. Das, and G. Zelinsky, 'Design and evaluation of a foveated video streaming service for commodity client devices,' in In Proceedings of the 7th International Conference on Multimedia Systems (MMSys'16) , (Klagenfurt, Austria), pp. 1-6, May 2016. - source
Not checked in the free run.
- cites [288] [288] F. Qian, L. Ji, B. Han, and V. Gopalakrishnan, 'Optimizing 360 video delivery over cellular networks,' in In Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges (ATC'16) , (New York, NY), pp. 1-6, May 2016. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone given§ D. Summary · p. 23Multi-access edge decrease the content delivery latency and improve the utilization of the network resources.
“Multi-access edge decrease the content delivery latency and improve the utilization of the network resources.”
Quote in the paperNot a substantial claim- Rests on an assumption: MEC offers an environment characterized by high bandwidth and low latency for applications and content providers.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 21Fog computing represents the overall architecture of distributing resources across the networks and cannot operate in a standalone mode as it is tightly linked to the existence of a cloud.
“However, unlike cloudlet [308] and MEC, fog computing represents the overall architecture of distributing resources across the networks and cannot operate in a standalone mode as it is tightly linked to the existence of a cloud.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [308] [308] M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, 'The Case for VM-Based Cloudlets in Mobile Computing,' IEEE Pervasive Computing , vol. 8, no. 4, pp. 14-23, 2009. -
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ G. Summary · p. 19The inclusion of SDN and/or NFV and their significant support in future networks such as 5G is an emerging area of active research which still has a vast scope for future research.
“The inclusion of SDN and/or NFV and their significant support in future networks such as 5G is an emerging area of active research which still has a vast scope for future research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 19The basic idea of QoE-fairness and personalized QoE-centric control is to avoid quality instability, unfair bandwidth sharing and network resource underutilization among DASH competing clients sharing the same bottleneck network link.
“The basic idea is to avoid quality instability, unfair bandwidth sharing and network resource underuti- lization among DASH competing clients sharing the same bottleneck network link.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22The clients have full control over the streaming session and also the possibility to adapt the multimedia stream to its context (e.g. device capabilities, network conditions).
“The clients have full control over the streaming session and also the possibility to adapt the multimedia stream to its context (e.g. device capabilities, network conditions) [313].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [313] [313] M. F. Majeed, S. H. Ahmed, S. Muhammad, H. Song, and D. B.Rawat, 'Multimedia streaming in information-centric networking: A survey and future perspectives,' Computer Networks , vol. 125, pp. 103-121, Oct 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ F. QoE-aware/driven Approaches using Full Adoption of SDN and NFV · p. 19The integration of SDN and NFV provides means for implementing advanced network QoE monitoring and management solutions.
“The integration of SDN and NFV provides means for implementing advanced network QoE monitoring and management solutions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23QoE measurements has also been addressed in the context of AR systems because of their applications in various fields such as emergency response training and medical surgery.
“QoE measurements has also been addressed in the context of AR systems [289], [290] because of their applications in various fields such as emergency response training and medical surgery.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [289] [289] J. Puig, A. Perkis, F. Lindseth, and T. Ebrahimi, 'Towards an efficient methodology for evaluation of quality of experience in augmented reality,' in 2012 Fourth International Workshop on Quality of Multimedia Experience , pp. 188-193, July 2012. - source
Not checked in the free run.
- cites [290] [290] M. Pallot, R. Eynard, B. Poussard, O. Christmann, and S. Richir, 'Augmented sport: Exploring collective user experience,' in In Proceedings of the Virtual Reality International Conference (VRIC'13) , (Laval, France), pp. 1-10, 2013. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22In ICN, contents are decoupled from the location at the network level such that when a client requests a specific content, it is identified by a Uniform Resource Identifier (URI) using a routable name scheme.
“In ICN, contents are decoupled from the location at the network level such that when a client requests a specific content, it is identified by a Uniform Resource Identifier (URI) using a routable name scheme, for example, /example.com/video/ICNVideo.mp4.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22ICN is a disruptive network architecture that proposes to shift from the traditional host-centric approach model to a content-centric model by directly naming and operating on information objects.
“ICN [310], [311] is a disruptive network architecture that proposes to shift from the traditional host-centric approach model to a content-centric model by directly naming and operating on information objects [312].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [310] [310] A. A. Barakabitze and T. Xiaoheng, 'Caching and Data Routing In Information Centric Networking (ICN): The Future Internet Perspective,' International Journal of Advanced Research in Computer Science and Software Engineering , vol. 4, pp. 26-36, Jan 2014. - source
Not checked in the free run.
- cites [311] [311] B. Ahlgren, C. Dannewitz, C. Imbrenda, D. Kutscher, and B. Ohlman, 'A survey of information-centric networking,' IEEE Communications Magazine, , vol. 50, no. 7, pp. 26-36, 2012. - source
Not checked in the free run.
- cites [312] [312] A. A. Barakabitze, T. Xiaoheng, and G. Tan, 'A Survey on Naming, Name Resolution and Data Routing in Information Centric Networking (ICN),' Int. J. Adv. Res. Comput. Commun. Eng , vol. 3, no. 10, pp. 8322-8330, 2014. - source
Not checked in the free run.
May combine two claims.
Premisecitation§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 19Server and network-based optimization strategies include bandwidth reservation, bitrate guidance, video stream prioritization, CDN orchestration and caching optimization, and server-assisted delivery.
“Server and Network-Based Optimization | Bandwidth reservation [107], [196], [200] or bitrate guidance [7], [197], [108], [245] video stream prioritization [246], CDN or- chestration and caching optimization [247], server-assisted delivery [110]”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [107] [107] G. Cofano, L. D. Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo., 'Design and Experimental Evaluation of Networkassisted Strategies for HTTP Adaptive Streaming,' ACM Transactions on Multimedia Computing, Communications, and Applications , vol. 35, pp. 1-24, Nov 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [196] [196] A. Bentaleb, A. C. Begen, and R. Zimmermann, 'QoE-Aware Bandwidth Broker for HTTP Adaptive Streaming Flows in an SDN-Enabled HFC Network,' IEEE Transactions on Broadcasting , vol. 64, pp. 575589, June 2018. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [200] [200] A. Mansy, M. Fayed, and M. Ammar., 'Network-Layer Fairness for Adaptive Video Streams,' IFIP Networking Conference (IFIP Networking) , pp. 1-9, May 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationreasoning§ G. Summary · p. 19The discussion above clearly points toward a shift towards the adoption of SDN and NFV paradigms for QoE management and orchestration of network resources in future networks.
“The discussion above clearly points toward a shift towards the adoption of SDN and NFV paradigms for QoE management and orchestration of network resources in future networks.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ B. QoE-aware Adaptive Streaming over Cloud/Fog Computing · p. 22Data-Oriented Network Architecture (DONA), Content-Centric Networking (CCN) or Named Data Networking (NDN) are typical instantiations of the ICN paradigm.
“Data-Oriented Network Architecture (DONA) [314], Content-Centric Networking (CCN) or Named Data Networking (NDN) [315] are typical instantiations of the ICN paradigm [310].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [314] [314] T. Koponen, M. Chawla, B. Chun, A. Ermolinskiy, K. Kim, S.Shenker, and I. Stoica, 'A data-oriented (and beyond) network architecture,' ACM SIGCOMM Computer Communication Review , vol. 37, pp. 181192, Aug 2007. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [315] [315] L. Zhang, A. Afanasyev, J. Burke, V. Jacobson, kc claffy, P. Crowley, C. Papadopoulos, L. Wang, and B. Zhang, 'Named data networking,' SIGCOMM Comput. Commun. Rev. , vol. 44, pp. 66-73, July 2014. - source
Not checked in the free run.
- cites [310] [310] A. A. Barakabitze and T. Xiaoheng, 'Caching and Data Routing In Information Centric Networking (ICN): The Future Internet Perspective,' International Journal of Advanced Research in Computer Science and Software Engineering , vol. 4, pp. 26-36, Jan 2014. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23The global market of VR related devices will reach 30 billion USD by 2020.
“while the global market of VR related devices will reach 30 billion USD by 2020 11 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] [11] B. Alcardo Alex and X. Tan, 'Performance Analysis of PAPR Reduction Using DFT-Spreading OFDMA Technique,' International Journal of Innovative Research in Computer and Communication Engineering , vol. 3, pp. 1401-1409, March 2015. -
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Interpretationreasoning§ G. Summary · p. 19The discussion above indicates the significance of these advanced technologies for improving the performance and the delivery of QoE-rich services to the end-users in future communication systems.
“It also indicates the significance of these advanced technologies for improving the performance and the delivery of QoE-rich services to the end-users in future communication systems.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18A study in [244] proposes a 5G network architecture for the network and service management of multimedia services by passive monitoring probe at the user terminal for exchange of information between OTTP and MNO.
“Similary, the study conducted in [244] proposes 5G network architecture for the network and service management of the multimedia services by passive monitoring probe at the user terminal for exchange of information between OTTP and MNO.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [244] [244] A. Ahmad and L. Atzori, 'MNO-OTT Collaborative Video Streaming in 5G: The Zero-rated QoE Approach for Quality and Resource Management,' IEEE Transactions on Network and Service Management , 2019. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ E. Collaborative Service QoE Management by OTTP and ISP through SDN and NFV · p. 18The monitored KQIs of the active session is stored in the database (accessible to the ISP through RESTful API) by the OTTP.
“The monitored KQIs of the active session is stored in the database (accessible to the ISP through RESTful API) by the OTTP.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationreasoning§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 23These challenges not only impact the consumers' AR/VR experience today but remain an impediment to the delivery of more immersive experiences in real-time in the future.
“These challenges not only impact the consumers' AR/VR experience today but remain an impediment to the delivery of more immersive experiences in real-time in the future.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29Placement planning of the controller or the VNFs separately could still affect the performance and reliability of the SDN/NFV-based system, which in turn can negatively degrade the end-users' QoE.
“This is so because placement planning of the controller or the VNFs separately could still affect the performance and reliability of the SDN/NFV-based system, which in turn can negatively degrade the end-users' QoE.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. QoE in Light Field Applications · p. 25A metric for quality evaluation of the rendered views that measures the variation of structural similarity on a set of viewpoints extracted from the light field is proposed.
“A metric for quality evaluation of the rendered views that measures the variation of structural similarity on a set of viewpoints extracted from the light field is proposed [341].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [341] [341] C. Perra, 'Assessing the Quality of Experience in Viewing Rendered Decompressed Light Fields,' Multimedia Tools and Applications , vol. 77, pp. 21771-21790, August 2018. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationreasoning§ H. Summary · p. 30There are still significant gaps in some areas of QoE-control and management challenges that need extensive research and investigations.
“We note that despite the recent efforts towards overcoming QoE-control and management challenges today, and the rapid evolution of SDN and NFV towards future communication systems, there are still significant gaps in some areas that need extensive research and investigations as summarized in Table IX.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 24QoE in emerging mulsemedia services, which involve different new media objects than traditional multimedia applications, has recently attracted much attention from the academia and industry.
“QoE in emerging mulsemedia services, which involve different new media objects than traditional multimedia applications, has recently attracted much attention from the academia and industry [292], [293].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [292] [292] C. Alexandra, Z. Longhao, T. Irina, M. Gabriel-Miro, and G. Gheorghita, 'Is Multimedia Multisensorial? - A Review of Mulsemedia Systems,' ACM Computing Surveys (CSUR) , vol. 51, no. 5, 2018. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [293] [293] Y. Sulema, 'Mulsemedia vs. multimedia: State of the art and future trends,' in 2016 International Conference on Systems, Signals and Image Processing (IWSSIP) , pp. 1-5, May 2016. - source
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationreasoning§ C. QoE-oriented Business Models in Future Softwarized Network · p. 27SLAs used today are not enough as the means to provide QoE-related contracts between service providers and customers.
“SLAs used today are not enough as the means to provide QoE-related contracts between service providers and customers.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone given§ D. Intelligent QoE-Based Big Data Strategies in Future Softwarized Networks · p. 28The relationship between SDN, NFV, and big data is not yet studied, especially in the perspective of future networks.
“However, while it will be challenging to meet QoS and QoE requirements and orchestrate VNFs without big data analytics, we note that the relationship between SDN, NFV, and big data is not yet studied, especially in the perspective of future networks.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ B. OTT-ISP Collaborative Service Management in Softwarized Networks · p. 26If the passive monitoring probe at the user terminal operates at a higher frequency, the prediction of QoE may be more accurate but will have a negative impact on the user end device regarding utilization of device resources (e.g., CPU, RAM and battery power).
“The primary reason is that if the passive monitoring probe at the user terminal operates at a higher frequency, the prediction of the QoE may be more accurate [82] but will have a negative impact on the user end device regarding utilization of the device resources (e.g., CPU, RAM and battery power) [240].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [82] [82] E. Liotou, D. Tsolkas, N. Passas, and L. Merakos, 'Quality of experience management in mobile cellular networks: key issues and design challenges,' IEEE Communications Magazine , vol. 53, no. 7, pp. 145153, 2015. - source
Not checked in the free run.
- cites [240] [240] A. Ahmad, L. Atzori, and M. G. Martini, 'Qualia: A multilayer solution for QoE passive monitoring at the user terminal,' in 2017 IEEE International Conference on Communications (ICC) , pp. 1-6, May 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationreasoning§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29Providing a reliable and scalable softwarized network would translate to service provisioning to the end-users with better quality.
“Providing a reliable and scalable softwarized network would also translate to service provisioning to the end-users with better quality.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 24The new 360 mulsemedia services would come at the cost of more bandwidth than the conventional applications and stringent delay requirements.
“However, the new 360 mulsemedia services would come at the cost of more bandwidth than the conventional applications [298] and stringent delay requirements [299].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [298] [298] T.-M. Liu, C.-C. Ju, Y.-H. Huang, T.-S. Chang, K.-M. Yang, and Y.-T. Lin, 'A 360-degree 4K 2K panoramic video processing Over Smart-phones,' in 2017 IEEE International Conference on Consumer Electronics (ICCE) , pp. 247-249, Jan 2017. - source
Not checked in the free run.
- cites [299] [299] X. Corbillon, G. Simon, A. Devlic, and J. Chakareski, 'Viewportadaptive navigable 360-degree video delivery,' in 2017 IEEE International Conference on Communications (ICC) , (Paris, France), pp. 1-7, May 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Premisenone given§ C. QoE-oriented Business Models in Future Softwarized Network · p. 27Current SLA modeling proposals are mostly confined and focused on QoS technical aspects.
“Unfortunately, the current SLA modeling proposals are mostly confined and focused on QoS technical aspects.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisereasoning§ C. QoE-oriented Business Models in Future Softwarized Network · p. 27Current SLA modeling proposals do not follow web principles and semantic approach for QoS specification of communication services using QoE parameters.
“Moreover, they do not follow web principles and semantic approach for QoS specification of communication services using QoE parameters.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ B. QoE in Cloud Gaming Video Streaming Applications · p. 25There are several research works regarding objective and subjective quality assessment of gaming video content such as creation of gaming video datasets, evaluation of existing metrics and development of new no-reference metrics and models for gaming content.
“In addition, there are several research works regarding objective and subjective quality assessment of gaming video content such as creation of gaming video datasets [331], evaluation of existing metrics [332]-[335] and development of new no-reference metrics and models [46], [336], [337] for gaming content.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [331] [331] N. Barman, S. Zadtootaghaj, S. Schmidt, M. G. Martini, and S. Möller, 'GamingVideoSET: A Dataset for Gaming Video Streaming Applications,' in 2018 16th Annual Workshop on Network and Systems Support for Games (NetGames) , pp. 1-6, June 2018. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [332]-[335]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [46] [46] N. Barman, E. Jammeh, S. A. Ghorashi, and M. G. Martini, 'NoReference Video Quality Estimation Based on Machine Learning for Passive Gaming Video Streaming Applications,' IEEE Access , vol. 7, pp. 74511-74527, June 2019. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone given§ E. QoE-oriented Network Sharing and Slicing in Future Softwarized Networks · p. 28Dynamic resource sharing among slice tenants would make network resource utilization more efficient, but it needs intelligent scheduling algorithms to allocate resources among these slices.
“Although the dynamic resource sharing among slice tenants would make network resource utilization more efficient, it needs intelligent scheduling algorithms to allocate resources among these slices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ G. Multimedia Communications in Internet of Things (IoTs) · p. 29The imminent arrival of the IoT, consisting of interconnected devices, creates scalability, mobility, security and privacy, QoE resource management and multimedia network management challenges.
“Inevitably, the imminent arrival of the IoT, consisting of interconnected devices, creates scalability, mobility, security and privacy, QoE resource management [399] and multimedia network management challenges [400], [401].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [399] [399] A. Floris and L. Atzori, 'Quality of Experience in the Multimedia Internet of Things: Definition and practical use-cases,' in 2015 IEEE International Conference on Communication Workshop (ICCW) , pp. 1747-1752, June 2015. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [400] [400] T. Ninikrishna, S. Sarkar, R. Tengshe, M. K. Jha, L. Sharma, V. Daliya, and S. K. Routray, 'Software Defined IoT: Issues and Challenges,' Proceedings of the IEEE 2017 International Conference on Computing Methodologies and Communication (ICCMC) , pp. 723-726, Feb 2017. - source
Not checked in the free run.
- cites [401] [401] N. Bizanis and F. A. Kuipers, 'SDN and Virtualization Solutions for the Internet of Things: A Survey,' IEEE Access , vol. 4, pp. 5591-5606, Sept 2016. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29Centralized controller implementations suit a single network domain.
“On the controller design viewpoint, the centralized controller implementations suit a single network domain.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. QoE in Light Field Applications · p. 25Chen et al. measured the binocular quality perception in the context of blurriness and blockiness.
“Chen et al. [340] measured the binocular quality perception in the context of blurriness and blockiness.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [340] [340] M.-J. Chen, L. K. Cormack, and A. C. Bovik, 'No-reference quality assessment of natural stereopairs,' IEEE Trans. Image Process , vol. 22, pp. 3379 -3391, Sep 2013. -
Not checked in the free run.
May combine two claims.
Premisecitation§ B. OTT-ISP Collaborative Service Management in Softwarized Networks · p. 27The current QoE models for delivery of adaptive video streams have three limitations: they are developed to capture the behavior of the average user and hence some are not personalized; they do not consider the context in which the streaming session takes place; and only the QoE model of the users is inserted into the control loop, but not the user herself.
“The current QoE models for delivery of adaptive video streams have three limitations: (1) they are developed to capture the behavior of the”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] [31] S. Petrangeli, J. V. D. Hooft, T. Wauters, and F. D. Turck, 'Quality of Experience-Centric Management of Adaptive Video Streaming Services: Status and Challenges,' ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) , vol. 14, pp. 2 -28, May 2018. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ A. QoE Management and Orchestration Challenges · p. 26Similar to NFV, WNV aim to provide efficient resource utilization, reduce CAPEX and OPEX to service providers and better QoE to the end-users in future cellular systems.
“Similar to NFV concept, WNV aim to provide efficient resource utilization, reduces CAPEX and OPEX to service providers and better QoE to the end-users in future cellular systems.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. QoE in Light Field Applications · p. 25Wang et al. perform QoE measurement for light field 3D displays on Multi-layer light field displays (MLLFDs).
“Wang et al. [338] perform QoE measurement for light field 3D displays on Multi-layer light field displays (MLLFDs).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [338] [338] S. Wang, K. S. Ong, P. Surman, J. Yuan, Y. Zheng, and X. W. Sun, 'Quality of experience measurement for light field 3D displays on multilayer LCDs,' Society for Information Display , vol. 24, no. 12, pp. 726-740, 2016. -
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ F. Scalability, Resilience, and Optimization in Future Softwarized Networks · p. 29The risk of becoming a Single Point of Failure (SPOF) increases with centralized controller implementations, which in turn compromises network reliability and performance as well as end-users' QoE.
“However, the risk of becoming a Single Point of Failure (SPOF) increases, which in turn compromises the network reliability and its performance as well as the end-users' QoE.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 24Mulsemedia enables the integration of other human senses (e.g., olfactory and haptic) into human-computer interaction.
“Mulsemedia enables the integration of other human senses (e.g., olfactory and haptic) into human-computer interaction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone given§ A. QoE Management and Orchestration Challenges · p. 26Current proposals are only focused on NFV management and orchestration; there are no efforts on the management and orchestration of both SDN and NFV resources for future evolution, for example, considering 5G networks.
“Despite these efforts, current proposals are only focused on NFV management and orchestration. There are no efforts given on the management and orchestration of both SDN and NFV resources for future evolution, for example, considering 5G networks.”
Quote in the paperNot a substantial claim- Rests on an assumption: The overall process of delivering VR video content from the source to clients is more complex than delivering common 4K videos.
- Rests on an assumption: VR-video quality can be degraded by various faults that can be hard to separate or distinguish from.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ B. QoE in Cloud Gaming Video Streaming Applications · p. 25Two ITU-T recommendations are published: one covers identification of factors affecting QoE in gaming applications (G.1032) and the other describes definition of subjective methods for evaluating quality experienced during gaming activities (P.809).
“Towards this end, two ITU-T recommendations are published [328]. One covers the identification of factors affecting QoE in gaming applications (G.1032) [329] while the other describes the definition of subjective methods for evaluating the quality experienced during gaming activities (P.809) [330].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [328] [328] S. Möller, S. Schmidt, and S. Zadtootaghaj, 'New ITU-T Standards for Gaming QoE Evaluation and Management,' in 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) , pp. 1-6, May 2018. - source
Not checked in the free run.
- cites [329] [329] 'ITU-T Rec. G.1032: Influence Factors on Gaming Quality of Experience (QoE),' Oct 2017. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [330] [330] 'ITU-T Rec. P.809: Subjective evaluation methods for gaming quality,' June 2018. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. QoE-oriented Business Models in Future Softwarized Network · p. 27The zero-rate QoE approach for radio resource management in 5G networks considering multimedia services outperforms the traditional zero-rated data rate approach in terms of network resource utilization, delivered QoE and QoE-aware fairness.
“The approach outperforms the traditional zerorated data rate approach in terms of the network resource utilization, delivered QoE and QoE-aware fairness.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [244] [244] A. Ahmad and L. Atzori, 'MNO-OTT Collaborative Video Streaming in 5G: The Zero-rated QoE Approach for Quality and Resource Management,' IEEE Transactions on Network and Service Management , 2019. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone given§ B. OTT-ISP Collaborative Service Management in Softwarized Networks · p. 27Higher operating frequency for information exchange may lead to improved service resilience while causing increased network overload issues.
“Future research work in this direction is critically needed as the higher operating frequency for the information exchange may lead to improved service resilience while causing increased network overload issues.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. QoE in Light Field Applications · p. 25Shao et al. proposed a new full-reference quality assessment model for stereoscopic images where binocular receptive field properties are learned and aligned with human visual perception.
“A new full-reference quality assessment model for stereoscopic images is proposed by Shao et al. [339], where binocular receptive field properties are learned and aligned with human visual perception.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [339] [339] F. Shao, K. Li, W. Lin, G. Jiang, M. Yu, and Q. Dai, 'Full-Reference Quality Assessment of Stereoscopic Images by Learning Binocular Receptive Field Properties,' IEEE Transactions on Image Processing , vol. 24, no. 10, pp. 2971 -2983, 2015. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based).
Interpretationreasoning§ A. QoE Management and Orchestration Challenges · p. 26QoE-aware/driven management schemes for multimedia delivery services over future softwarized infrastructures are not covered yet.
“While existing projects are focusing on novel architectures that provide the needed flexibility and programmable networks using SDN/NFV, QoEaware/driven management schemes for multimedia delivery services over future softwarized infrastructures are not covered yet.”
Quote in the paperNot a substantial claim- Rests on an assumption: The overall process of delivering VR video content from the source to clients is more complex than delivering common 4K videos.
- Rests on an assumption: VR-video quality can be degraded by various faults that can be hard to separate or distinguish from.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationcitation§ A. QoE in Immersive AR/VR and Mulsemedia Applications · p. 24360 video applications could integrate additional 360 sensory media content (e.g., olfactory, haptic or thermoceptics media objects) that could eventually enable an even better quality of user experience.
“Thus, 360 video applications, for example, could integrate additional 360 sensory media content (e.g., olfactory, haptic or thermoceptics media objects) that could eventually enable an even better quality of user experience [324].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [324] [324] L. Zou, I. Tal, A. Covaci, E. Ibarrola, G. Ghinea, and G.-M. Muntean, 'Can Multisensorial Media Improve Learner Experience?,' in Proceedings of the 8th ACM on Multimedia Systems Conference , MMSys'17, (Taipei, Taiwan), pp. 315-320, June 2017. - source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ C. QoE in Light Field Applications · p. 25Perra presents the QoE evaluation of light field applications when viewing rendered decompressed images.
“Perra [341] presents the QoE evaluation of light field applications when viewing rendered decompressed images.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [341] [341] C. Perra, 'Assessing the Quality of Experience in Viewing Rendered Decompressed Light Fields,' Multimedia Tools and Applications , vol. 77, pp. 21771-21790, August 2018. -
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
Future networks are shifting towards the cloudification of network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV).
“The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV).”
The paper relies on this without support.
Highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks.
“The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks.”
The paper relies on this without support.
SDN and NFV will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches.
“This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches.”
The paper relies on this without support.
QoS metrics are not explicitly and directly linked with a customer's satisfaction of a service.
“As QoS metrics are not explicitly and directly linked with a customer's satisfaction of a service, user-centric Quality of Experience (QoE) metrics (e.g. Mean Opinion Scores) have been used in recent years to assess the quality of multimedia services, in addition to QoS metrics.”
The paper relies on this without support.
User-centric QoE metrics have been used in recent years to assess the quality of multimedia services, in addition to QoS metrics.
“As QoS metrics are not explicitly and directly linked with a customer's satisfaction of a service, user-centric Quality of Experience (QoE) metrics (e.g. Mean Opinion Scores) have been used in recent years to assess the quality of multimedia services, in addition to QoS metrics.”
The paper relies on this without support.
MEC offers an environment characterized by high bandwidth and low latency for applications and content providers.
“MEC promises to offer an environment characterized by high bandwidth and low latency for applications and content providers.”
The paper relies on this without support.
Both Fog computing and MEC support virtualization functions.
“Both Fog computing and MEC support virtualization functions.”
The paper relies on this without support.
Cloud computing provides ubiquitous on-demand access to a shared pool of configurable computing resources with minimum management effort.
“Cloud computing provides ubiquitous on-demand access to a shared pool of configurable computing resources (e.g., networks, servers, storage) with minimum management effort.”
The paper relies on this without support.
The overall process of delivering VR video content from the source to clients is more complex than delivering common 4K videos.
“This is so because the overall process of delivering the VR video content from the source to clients is more complex compared to that of common 4K videos.”
The paper relies on this without support.
VR-video quality can be degraded by various faults that can be hard to separate or distinguish from.
“The VR-video quality can be degraded by various faults which can be hard to separate or distinguish from.”
The paper relies on this without support.
Cloud gaming is a delay-sensitive multimedia application.
“Cloud gaming is a delay sensitive multimedia application.”
The paper relies on this without support.
Passive gaming video streaming suffers from characteristics of traditional live/on-demand video streaming services.
“Passive gaming video streaming suffers from characteristics of the traditional live/ondemand video streaming services.”
The paper relies on this without support.
Cloud gaming and passive gaming video streaming have different network requirements and constraints, requiring different network management schemes.
“Both services have different network requirements and constraints, which require different network management schemes.”
The paper relies on this without support.
Light field videos usually have very high resolution (typically 50-80 megapixels) and hence have very high bandwidth requirement.
“As compared to traditional Broadcast or streamed video content, light field videos usually have very high resolution (typically 50-80 megapixels) and hence have very high bandwidth requirement which calls for more efficient compression as well as higher network bandwidth.”
The paper relies on this without support.
Light field 3D displays require different measurement procedures compared to conventional stereoscopic displays.
“Additionally, light field 3D displays require different measurement procedures compared to the conventional stereoscopic displays as it includes the measurement of certain additional parameters.”
The paper relies on this without support.
The exponential growth of Internet traffic due to the rising popularity of multimedia services over the Internet has created network resources management concern for ISPs and OTTP.
“The exponential growth of Internet traffic due to the rising popularity of the multimedia services over the Internet has created network resources management concern for ISPs and OTTP.”
The paper relies on this without support.
The network resources management concern is due to inefficient utilization of available network resources.
“This is due to an inefficient utilization of available network resources, and the huge pressure on both the ISPs and OTTP to provide service with good quality to the end users.”
The paper relies on this without support.
The network resources management concern is due to huge pressure on both the ISPs and OTTP to provide service with good quality to the end users.
“This is due to an inefficient utilization of available network resources, and the huge pressure on both the ISPs and OTTP to provide service with good quality to the end users.”
The paper relies on this without support.
The academia and the industry are embracing SDN and NFV as future technologies to help overcome these challenges.
“The academia and the industry are embracing SDN and NFV as future technologies to help overcome these challenges.”
The paper relies on this without support.
SDN and NFV promise to provide and implement new capabilities and solutions for enabling future networks (e.g., 5G) control to be adaptable, programmable and cost-effective.
“SDN and NFV promise to provide and implement new capabilities and solutions for enabling future networks (e.g., 5G) control to be adaptable, programmable and cost-effective.”
The paper relies on this without support.
Due to limited network resources, it is a challenge for the service providers to provide high-quality multimedia services to all their customers.
“However, due to limited network resources, it is a challenge for the service providers to provide high-quality multimedia services to all their customers.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Surveys [14,15] focused on QoE in multimedia IoT applications, which is determined based on how such applications are consumed by users.
“In surveys such as [14,15], authors have focussed on QoE in multimedia IoT applications, which is determined based on how such applications are consumed by users.”
From QoE in IoT: a vision, survey and future directions (2021) · cites this paper as [14]
The survey discusses QoE management for multimedia IoT applications in “Multimedia Communications in Internet of Things” (p. 29), and defines QoE in terms of users’ experience of an application or service in “Quality of Experience: Definition” (p. 4). But multimedia IoT is one subsection of a broader survey of multimedia streaming services, not the survey’s central focus. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Table X cites a buffer-starvation paper as controller-placement research
MinorTable X lists [80] among works on SDN controller placement, but the reference list identifies [80] as an analysis of buffer starvation in streaming services.
“| Jimenez et al. [80] | ✓ | | | ✓ | Static | ✓ | |”
“[80] Y. Xu, E. Altman, R. El-Azouzi, M. Haddad, S. Elayoubi, and T. Jimenez, 'Analysis of Buffer Starvation With Application to Objective QoE Optimization of Streaming Services,'”
Reference [10] is attributed to different authors and a different topic
MinorThe text identifies [10] as a survey by Liotou et al. on network-level QoE management, but the reference list identifies [10] as a paper by Liu et al. on device-to-device communications.
“Liotou et al. [10] provided insights regarding network-level QoE management in mobile cellular networks.”
“[10] J. Liu, S. Zhang, N. Kato, H. Ujikawa, and K. Suzuki, 'Device-todevice communications for enhancing quality of experience in software defined multi-tier LTE-A networks,'”
Reference [271] does not match the attributed WiFi-offloading study
MinorThe text attributes a WiFi-offloading resource-allocation scheme by Zhang et al. to [271]. The reference list instead identifies [271] as a 4K HTTP live-streaming paper by Ge et al.
“Zhang et al. [271] apply the edge-computing based WiFi offloading technique to propose a QoS/QoE based resource allocation scheme over 5G mobile networks.”
“[271] C. Ge, N. Wang, W. K. Chai, and H. Hellwagner, 'QoE-Assured 4K HTTP Live Streaming via Transient Segment Holding at Mobile Edge,'”
Cites
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892 · see citing works
Overview of the High Efficiency Video Coding (HEVC) Standard
Sullivan, G. J., Ohm, J.-R., Han, W.-J., & Wiegand, T. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2221191 · Cited by 8,286 · see citing works
Making a “Completely Blind” Image Quality Analyzer
Mittal, A., Soundararajan, R., & Bovik, A. C. (2013) · IEEE Signal Processing Letters · doi:10.1109/lsp.2012.2227726 · Cited by 6,766 · see citing works
No-Reference Image Quality Assessment in the Spatial Domain
Mittal, A., Moorthy, A. K., & Bovik, A. C. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2214050 · Cited by 6,064 · see citing works
Software-Defined Networking: A Comprehensive Survey
Kreutz, D., Ramos, F. M. V., Esteves Verissimo, P., Esteve Rothenberg, C., Azodolmolky, S., & Uhlig, S. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2371999 · Cited by 5,050 · see citing works
SIP: Session Initiation Protocol
Agbinya, J. I. (2009) · Auerbach Publications eBooks · doi:10.1201/9781420070910-13 · Cited by 4,371 · see citing works
Image information and visual quality
Sheikh, H. R., & Bovik, A. C. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.859378 · Cited by 4,104 · see citing works
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660 · see citing works
SIP: Session Initiation Protocol
Rosenberg, J. M., Schulzrinne, H. G., Camarillo, G., Johnston, A., Peterson, J. N., Sparks, R., Handley, M. J., & Schooler, E. M. (2002) · doi:10.17487/rfc3261 · Cited by 3,025 · see citing works
Zhang, L., Afanasyev, A., Burke, J., Jacobson, V., claffy, K., Crowley, P., Papadopoulos, C., Wang, L., & Zhang, B. (2014) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2656877.2656887 · Cited by 2,270 · see citing works
Network Function Virtualization: State-of-the-Art and Research Challenges
Mijumbi, R., Serrat, J., Gorricho, J.-L., Bouten, N., De Turck, F., & Boutaba, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2477041 · Cited by 1,933 · see citing works
Jain, S., Kumar, A., Mandal, S., Ong, J. S., Poutievski, L., Singh, A., Venkata, S., Wanderer, J., Zhou, J., Zhu, M., et al. (2013) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2486001.2486019 · Cited by 1,770 · see citing works
A tutorial on decomposition methods for network utility maximization
Palomar, D. P., & Chiang, M. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2006.879350 · Cited by 1,647 · see citing works
A survey of information-centric networking
Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6231276 · Cited by 1,630 · see citing works
A data-oriented (and beyond) network architecture
Koponen, T., Chawla, M., Chun, B.-G., Ermolinskiy, A., Kim, K. H., Shenker, S. J., & Stoica, I. G. (2007) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1282380.1282402 · Cited by 1,390 · see citing works
Fast Model Predictive Control Using Online Optimization
Wang, Y., & Boyd, S. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2009.2017934 · Cited by 1,383 · see citing works
Virtual Network Embedding: A Survey
Fischer, A., Botero, J. F., Beck, M. T., de Meer, H., & Hesselbach, X. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.013013.00155 · Cited by 1,250 · see citing works
A Two-Step Framework for Constructing Blind Image Quality Indices
Moorthy, A. K., & Bovik, A. C. (2010) · IEEE Signal Processing Letters · doi:10.1109/lsp.2010.2043888 · Cited by 1,196 · see citing works
A new standardized method for objectively measuring video quality
Pinson, M. H., & Wolf, S. (2004) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2004.834028 · Cited by 1,182 · cited 2× · see citing works
“Peak Signal-to-Noise Ratio (PSNR) [49] FR Images - Frames Structural Similarity Index Metric (SSIM) [44] 2004 FR Images - Frames Video Multimethod Assessment Fusion (VMAF) [45] 2016 FR Images - Frames Visual Information Fidelity (VIF) [50] 2006 FR Images - Frames HDR-VDP-2: A calibrated visual metric for visibility an…”
Network Slicing in 5G: Survey and Challenges
Foukas, X., Patounas, G., Elmokashfi, A. M., & Marina, M. K. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600951 · Cited by 1,173 · see citing works
Berde, P., Gerola, M., Hart, J., Higuchi, Y., Kobayashi, M., Toshio, K., Lantz, B., O’Connor, B. M., Radoslavov, P. I., Snow, W., et al. (2014) · ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN) · doi:10.1145/2620728.2620744 · Cited by 1,120 · see citing works
Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions
Afolabi, I., Taleb, T., Samdanis, K., Ksentini, A., & Flinck, H. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2815638 · Cited by 1,078 · see citing works
Achieving high utilization with software-driven WAN
Hong, C.-Y., Kandula, S., Mahajan, R., Zhang, M., Gill, V., Nanduri, M., & Wattenhofer, R. P. (2013) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2486001.2486012 · Cited by 1,074 · see citing works
HyperFlow: a distributed control plane for OpenFlow
Tootoonchian, A., & Ganjali, Y. (2010) · Cited by 899 · see citing works
The controller placement problem
Heller, B., Sherwood, R., & McKeown, N. (2012) · doi:10.1145/2342441.2342444 · Cited by 875 · see citing works
Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges
Tran, T. X., Hajisami, A., Pandey, P., & Pompili, D. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600863 · Cited by 874 · see citing works
A Survey on Quality of Experience of HTTP Adaptive Streaming
Seufert, M., Egger, S., Slanina, M., Zinner, T., Hoßfeld, T., & Tran-Gia, P. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2360940 · Cited by 844 · see citing works
5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges
Barakabitze, A. A., Ahmad, A., Mijumbi, R., & Hines, A. (2019) · Computer Networks · doi:10.1016/j.comnet.2019.106984 · Cited by 842 · see citing works
Self-citationNetwork Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges
Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J. J., Lorca, J., & Folgueira, J. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600935 · Cited by 836 · see citing works
Fog Computing: Platform and Applications
Yi, S., Hao, Z., Qin, Z., & Li, Q. (2015) · 2015 Third IEEE Workshop on Hot Topics in Web Systems and Technologies (HotWeb) · doi:10.1109/hotweb.2015.22 · Cited by 829 · see citing works
The Akamai network: a platform for high-performance internet applications
Nygren, E., Sitaraman, R. K., & Sun, J. (2010) · ACM SIGOPS Operating Systems Review · doi:10.1145/1842733.1842736 · Cited by 726 · see citing works
A data-oriented (and beyond) network architecture
Koponen, T., Chawla, M., Chun, B.-G., Ermolinskiy, A., Kim, K. H., Shenker, S. J., & Stoica, I. G. (2007) · ACM SIGCOMM Computer Communication Review · doi:10.1145/1282427.1282402 · Cited by 720 · see citing works
Wireless Network Virtualization: A Survey, Some Research Issues and Challenges
Liang, C., & Yu, F. R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2352118 · Cited by 709 · see citing works
Mantiuk, R., Kim, K. J., Rempel, A. G., & Heidrich, W. (2011) · ACM Transactions on Graphics · doi:10.1145/2010324.1964935 · Cited by 687 · see citing works
Service Function Chaining (SFC) Architecture
(2015) · doi:10.17487/rfc7665 · Cited by 659 · see citing works
Network Innovation using OpenFlow: A Survey
Lara, A., Kolasani, A., & Ramamurthy, B. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.081313.00105 · Cited by 624 · see citing works
Design considerations for a 5G network architecture
Agyapong, P. K., Iwamura, M., Staehle, D., Kieß, W., & Benjebbour, A. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6957145 · Cited by 611 · see citing works
Network Slicing to Enable Scalability and Flexibility in 5G Mobile Networks
Rost, P., Mannweiler, C., Michalopoulos, D. S., Sartori, C., Sciancalepore, V., Sastry, N., Holland, O., Tayade, S., Han, B., Bega, D., et al. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600920 · Cited by 529 · see citing works
Software-Defined Network Function Virtualization: A Survey
Li, Y., & Chen, M. (2015) · IEEE Access · doi:10.1109/access.2015.2499271 · Cited by 508 · see citing works
A Survey of Security in Software Defined Networks
Scott-Hayward, S., Natarajan, S., & Sezer, S. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2453114 · Cited by 508 · see citing works
On scalability of software-defined networking
Yeganeh, S. H., Tootoonchian, A., & Ganjali, Y. (2013) · IEEE Communications Magazine · doi:10.1109/mcom.2013.6461198 · Cited by 501 · see citing works
Gudipati, A., Perry, D., Li, L. E., & Katti, S. (2013) · ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN) · doi:10.1145/2491185.2491207 · Cited by 487 · see citing works
Mantiuk, R., Kim, K. J., Rempel, A. G., & Heidrich, W. (2011) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1964921.1964935 · Cited by 467 · see citing works
(1993) · Cited by 466 · see citing works
VNF-P: A model for efficient placement of virtualized network functions
Moens, H., & Turck, F. D. (2014) · doi:10.1109/cnsm.2014.7014205 · Cited by 461 · see citing works
The beacon openflow controller
Erickson, D. (2013) · doi:10.1145/2491185.2491189 · Cited by 437 · see citing works
Optimizing 360 video delivery over cellular networks
Qian, F., Ji, L., Han, B., & Gopalakrishnan, V. (2016) · Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges · doi:10.1145/2980055.2980056 · Cited by 402 · see citing works
Heuristic Approaches to the Controller Placement Problem in Large Scale SDN Networks
Lange, S., Gebert, S., Zinner, T., Tran‐Gia, P., Hock, D., Jarschel, M., & Hoffmann, M. (2015) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2015.2402432 · Cited by 393 · see citing works
Dynamic Controller Provisioning in Software Defined Networks
Bari, M. F., Roy, A. R., Chowdhury, S. R., Zhang, Q., Zhani, M. F., Ahmed, R., & Boutaba, R. (2013) · Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013) · doi:10.1109/cnsm.2013.6727805 · Cited by 369 · see citing works
Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing
Soundararajan, R., & Bovik, A. C. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2214933 · Cited by 368 · cited 2× · see citing works
“Peak Signal-to-Noise Ratio (PSNR) [49] FR Images - Frames Structural Similarity Index Metric (SSIM) [44] 2004 FR Images - Frames Video Multimethod Assessment Fusion (VMAF) [45] 2016 FR Images - Frames Visual Information Fidelity (VIF) [50] 2006 FR Images - Frames HDR-VDP-2: A calibrated visual metric for visibility an…”
On the Capacitated Controller Placement Problem in Software Defined Networks
Yao, G., Bi, J., Li, Y., & Guo, L. (2014) · IEEE Communications Letters · doi:10.1109/lcomm.2014.2332341 · Cited by 366 · see citing works
DISCO: Distributed multi-domain SDN controllers
Phemius, K., Bouet, M., & Leguay, J. (2014) · IEEE Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2014.6838330 · Cited by 362 · see citing works
The Segment Routing Architecture
Filsfils, C., Nainar, N. K., Pignataro, C., Cardona, J. C., & Francois, P. (2015) · 2015 IEEE Global Communications Conference (GLOBECOM) · doi:10.1109/glocom.2015.7417124 · Cited by 349 · see citing works
From QoS to QoE: A Tutorial on Video Quality Assessment
Chen, Y., Wu, K., & Zhang, Q. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2363139 · Cited by 342 · see citing works
Viewport-adaptive navigable 360-degree video delivery
Corbillon, X., Simon, G., Devlic, A., & Chakareski, J. (2017) · 2017 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2017.7996611 · Cited by 341 · see citing works
NFV and SDN—Key Technology Enablers for 5G Networks
Yousaf, F. Z., Bredel, M., Schaller, S., & Schneider, F. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2760418 · Cited by 340 · see citing works
Network Slicing for 5G: Challenges and Opportunities
Li, X., Samaka, M., Chan, H. A., Bhamare, D., Gupta, L., Guo, C., & Jain, R. K. (2017) · IEEE Internet Computing · doi:10.1109/mic.2017.3481355 · Cited by 321 · see citing works
The controller placement problem
Heller, B., Sherwood, R., & McKeown, N. (2012) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2377677.2377767 · Cited by 316 · see citing works
SDN/NFV-Based Mobile Packet Core Network Architectures: A Survey
Nguyen, V., Brunström, A., Grinnemo, K., & Taheri, J. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2690823 · Cited by 314 · see citing works
Quality of Experience (QoE)-aware placement of applications in Fog computing environments
Mahmud, R., Srirama, S. N., Ramamohanarao, K., & Buyya, R. (2018) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2018.03.004 · Cited by 313 · see citing works
When big data meets software-defined networking: SDN for big data and big data for SDN
Cui, L., Yu, F. R., & Yan, Q. (2016) · IEEE Network · doi:10.1109/mnet.2016.7389832 · Cited by 302 · see citing works
Guidelines for creation, selection, and registration of an Autonomous System (AS)
Hawkinson, J., & Bates, T. (1996) · doi:10.17487/rfc1930 · Cited by 300 · see citing works
Recent Progress on C-RAN Centralization and Cloudification
Chih‐Lin, I., Huang, J., Duan, R., Cui, C., Jiang, J., & Li, L. (2014) · IEEE Access · doi:10.1109/access.2014.2351411 · Cited by 282 · see citing works
SDN and Virtualization Solutions for the Internet of Things: A Survey
Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access · doi:10.1109/access.2016.2607786 · Cited by 282 · see citing works
Pareto-optimal resilient controller placement in SDN-based core networks
Hock, D., Hartmann, M., Gebert, S., Jarschel, M., Zinner, T., & Tran‐Gia, P. (2013) · International Teletraffic Congress · doi:10.1109/itc.2013.6662939 · Cited by 281 · see citing works
Ferguson, A. D., Guha, A., Liang, C., Fonseca, R., & Krishnamurthi, S. (2013) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2486001.2486003 · Cited by 270 · see citing works
No-Reference Quality Assessment of Natural Stereopairs
Chen, M.-J., Cormack, L. K., & Bovik, A. C. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2267393 · Cited by 268 · see citing works
Towards network-wide QoE fairness using openflow-assisted adaptive video streaming
Georgopoulos, P., Elkhatib, Y., Broadbent, M., Mu, M., & Race, N. (2013) · Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking · doi:10.1145/2491172.2491181 · Cited by 242 · see citing works
Internet of multimedia things: Vision and challenges
Alvi, S. A., Afzal, B., Shah, G. A., Atzori, L., & Mahmood, W. (2015) · Ad Hoc Networks · doi:10.1016/j.adhoc.2015.04.006 · Cited by 241 · see citing works
Self-citationOptimal Model for the Controller Placement Problem in Software Defined Networks
Sallahi, A., & St‐Hilaire, M. (2014) · IEEE Communications Letters · doi:10.1109/lcomm.2014.2371014 · Cited by 234 · see citing works
Network function virtualization in 5G
Abdelwahab, S., Hamdaoui, B., Guizani, M., & Znati, T. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7452271 · Cited by 232 · see citing works
Measurement of Quality of Experience of Video-on-Demand Services: A Survey
Juluri, P., Tamarapalli, V., & Medhi, D. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2401424 · Cited by 229 · see citing works
A survey on content-centric technologies for the current Internet: CDN and P2P solutions
Passarella, A. (2012) · Computer Communications · doi:10.1016/j.comcom.2011.10.005 · Cited by 226 · see citing works
Edge Computing Framework for Cooperative Video Processing in Multimedia IoT Systems
Long, C., Cao, Y., Jiang, T., & Zhang, Q. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2764330 · Cited by 222 · see citing works
A Framework of Fog Computing: Architecture, Challenges, and Optimization
Liu, Y., Fieldsend, J. E., & Min, G. (2017) · IEEE Access · doi:10.1109/access.2017.2766923 · Cited by 218 · see citing works
Challenges of QoE management for cloud applications
Hobfeld, T., Schatz, R., Varela, M., & Timmerer, C. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6178831 · Cited by 212 · see citing works
Distributed SDN controller system: A survey on design choice
Oktian, Y. E., Lee, S.-G., Lee, H. J., & Lam, J. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.04.038 · Cited by 205 · see citing works
Multimedia big data computing and Internet of Things applications: A taxonomy and process model
Kumari, A., Tanwar, S., Tyagi, S., Kumar, N., Maasberg, M., & Choo, K. R. (2018) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.09.014 · Cited by 193 · see citing works
Liu, J., Zhang, S., Kato, N., Ujikawa, H., & Suzuki, K. (2015) · IEEE Network · doi:10.1109/mnet.2015.7166190 · Cited by 184 · see citing works
On reliability-optimized controller placement for Software-Defined Networks
Hu, Y., Wang, W., Gong, X., Que, X., & Cheng, S. (2014) · China Communications · doi:10.1109/cc.2014.6821736 · Cited by 184 · see citing works
No-Reference Quality Assessment of Tone-Mapped HDR Pictures
Kundu, D., Ghadiyaram, D., Bovik, A. C., & Evans, B. L. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2685941 · Cited by 182 · see citing works
QoE Modeling for HTTP Adaptive Video Streaming–A Survey and Open Challenges
Barman, N., & Martini, M. G. (2019) · IEEE Access · doi:10.1109/access.2019.2901778 · Cited by 180 · see citing works
Self-citationProgramming your network at run-time for big data applications
Wang, G., Ng, T. S. E., & Shaikh, A. (2012) · doi:10.1145/2342441.2342462 · Cited by 174 · see citing works
The Controller Placement Problem in Software Defined Networking: A Survey
Wang, G., Zhao, Y., Huang, J., & Wang, W. (2017) · IEEE Network · doi:10.1109/mnet.2017.1600182 · Cited by 174 · see citing works
QoE in Video Transmission: A User Experience-Driven Strategy
Zhao, T., Liu, Q., & Chen, C. W. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2619982 · Cited by 171 · see citing works
SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking
Bentaleb, A., Begen, A. C., & Zimmermann, R. (2016) · Proceedings of the 24th ACM international conference on Multimedia · doi:10.1145/2964284.2964332 · Cited by 160 · see citing works
Forwarding and Control Element Separation (ForCES) Protocol Specification
Wang, W., Haas, R., Salim, J. H., Doria, A., & Khosravi, H. (2010) · Medical Entomology and Zoology · Cited by 153 · see citing works
Han, B., Qian, F., Ji, L., & Gopalakrishnan, V. (2016) · ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) · doi:10.1145/2999572.2999606 · Cited by 153 · see citing works
QoE-Driven Mobile Edge Caching Placement for Adaptive Video Streaming
Li, C., Toni, L., Zou, J., Xiong, H., & Pascal Frossard, B. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2757761 · Cited by 152 · see citing works
Potentials and Challenges of C-RAN Supporting Multi-RATs Toward 5G Mobile Networks
Wang, R., Hu, H., & Yang, X. (2014) · IEEE Access · doi:10.1109/access.2014.2360555 · Cited by 151 · see citing works
Energy Efficient Multimedia Streaming to Mobile Devices — A Survey
Hoque, M. A., Siekkinen, M., & Nurminen, J. K. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.111412.00051 · Cited by 150 · see citing works
Survey and Challenges of QoE Management Issues in Wireless Networks
Baraković, S., & Skorin‐Kapov, L. (2013) · Journal of Computer Networks and Communications · doi:10.1155/2013/165146 · Cited by 150 · see citing works
SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality
Bampis, C. G., Gupta, P., Soundararajan, R., & Bovik, A. C. (2017) · IEEE Signal Processing Letters · doi:10.1109/lsp.2017.2726542 · Cited by 150 · see citing works
Forwarding and Control Element Separation (ForCES) Protocol Specification
Li, D., Gopal, R., & Halpern, J. M. (2010) · doi:10.17487/rfc5810 · Cited by 143 · see citing works
Vivisecting YouTube: An active measurement study
Adhikari, V. K., Jain, S., Chen, Y., & Zhang, Z.-L. (2012) · 2012 Proceedings IEEE INFOCOM · doi:10.1109/infcom.2012.6195644 · Cited by 134 · see citing works
Streaming High-Quality Mobile Video with Multipath TCP in Heterogeneous Wireless Networks
Wu, J., Yuen, C., Cheng, B. H., Wang, M., & Chen, J. (2015) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2015.2497238 · Cited by 133 · see citing works
Capacitated Next Controller Placement in Software Defined Networks
Killi, B. R., & Rao, S. V. (2017) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2017.2720699 · Cited by 131 · see citing works
5G-ICN: Delivering ICN Services over 5G Using Network Slicing
Ravindran, R., Chakraborti, A. K., Amin, S. O., Azgin, A., & Wang, G. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600938 · Cited by 128 · see citing works
Deep Packet Inspection as a Service
Bremler-Barr, A., Harchol, Y., Hay, D., & Koral, Y. (2014) · ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) · doi:10.1145/2674005.2674984 · Cited by 127 · see citing works
A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks
Wang, Y., Li, P., Jiao, L., Su, Z., Cheng, N., Shen, X. S., & Zhang, P. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2016.1500184wc · Cited by 125 · see citing works
Large-Scale Dynamic Controller Placement
Huque, M. T. I. U., Si, W., Jourjon, G., & Gramoli, V. (2017) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2017.2651107 · Cited by 124 · see citing works
Optimal controller placement in Software Defined Networks (SDN) using a non-zero-sum game
Rath, H. K., Revoori, V., Nadaf, S., & Simha, A. (2014) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2014.6918987 · Cited by 123 · see citing works
Adaptive Bitrate Selection: A Survey
Sani, Y., Mauthe, A., & Edwards, C. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2725241 · Cited by 121 · see citing works
Akyildiz, I. F., Lin, S.-C., & Wang, P. (2015) · Computer Networks · doi:10.1016/j.comnet.2015.10.013 · Cited by 118 · see citing works
Shao, F., Li, K., Lin, W., Jiang, G., Yu, M., & Dai, Q. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2436332 · Cited by 116 · see citing works
Online Scaling of NFV Service Chains Across Geo-Distributed Datacenters
Jia, Y., Wu, C., Li, Z., Le, F., & Liu, A. X. (2018) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2018.2800400 · Cited by 116 · see citing works
Chaudhary, R., Kumar, N., & Zeadally, S. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700102 · Cited by 116 · see citing works
A Survey of Emerging Concepts and Challenges for QoE Management of Multimedia Services
Skorin-Kapov, L., Varela, M., Hoßfeld, T., & Chen, K.-T. (2018) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/3176648 · Cited by 116 · see citing works
Definition of QoE Fairness in Shared Systems
Hoßfeld, T., Skorin‐Kapov, L., Heegaard, P. E., & Varela, M. (2016) · IEEE Communications Letters · doi:10.1109/lcomm.2016.2616342 · Cited by 114 · see citing works
5G-Crosshaul: An SDN/NFV Integrated Fronthaul/Backhaul Transport Network Architecture
Costa‐Pérez, X., García‐Saavedra, A., Li, X., Deiß, T., de la Oliva, A., Giglio, A. D., Iovanna, P., & Moored, A. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600181wc · Cited by 112 · see citing works
NOVA: QoE-driven optimization of DASH-based video delivery in networks
Joseph, V., & de Veciana, G. (2014) · doi:10.1109/infocom.2014.6847927 · Cited by 111 · see citing works
YoMoApp: A tool for analyzing QoE of YouTube HTTP adaptive streaming in mobile networks
Wamser, F., Seufert, M., Casas, P., Irmer, R., Tran‐Gia, P., & Schatz, R. (2015) · European Conference on Networks and Communications · doi:10.1109/eucnc.2015.7194076 · Cited by 110 · see citing works
Towards QoE-aware video streaming using SDN
Nam, H., Kim, K.-H., Kim, J. Y., & Schulzrinne, H. G. (2014) · Globecom · doi:10.1109/glocom.2014.7036990 · Cited by 110 · see citing works
Is Multimedia Multisensorial? - A Review of Mulsemedia Systems
Covaci, A., Zou, L., Tal, I., Muntean, G., & Ghinea, G. (2018) · ACM Computing Surveys · doi:10.1145/3233774 · Cited by 110 · see citing works
Sabella, D., Rost, P., Sheng, Y., Pateromichelakis, E., Salim, U., Guitton-Ouhamou, P., Girolamo, M. D., & Giuliani, G. (2013) · Future Network & Mobile Summit · Cited by 109 · see citing works
Towards a Cost Optimal Design for a 5G Mobile Core Network Based on SDN and NFV
Basta, A., Blenk, A., Hoffmann, K., Morper, H.-J., Hoffmann, M., & Kellerer, W. (2017) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2017.2732505 · Cited by 109 · see citing works
Design and experimental evaluation of network-assisted strategies for HTTP adaptive streaming
Cofano, G., Cicco, L. D., Zinner, T., Nguyen-Ngoc, A., Tran‐Gia, P., & Mascolo, S. (2016) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/2910017.2910597 · Cited by 100 · see citing works
Quality of experience management in mobile cellular networks: key issues and design challenges
Liotou, E., Tsolkas, D., Passas, N., & Merakos, L. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7158278 · Cited by 99 · see citing works
A machine learning approach to classifying YouTube QoE based on encrypted network traffic
Oršolić, I., Pevec, D., Sužnjević, M., & Skorin‐Kapov, L. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4728-4 · Cited by 99 · see citing works
SDNHAS: An SDN-Enabled Architecture to Optimize QoE in HTTP Adaptive Streaming
Bentaleb, A., Begen, A. C., Zimmermann, R., & Harous, S. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2733344 · Cited by 99 · see citing works
Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks
Martin, A., Egana, J., Florez, J., Montalban, J., Olaizola, I. G., Quartulli, M., Viola, R., & Zorrilla, M. (2018) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2018.2828608 · Cited by 99 · see citing works
Software-defined control of the virtualized mobile packet core
Sama, M. R., Contreras, L. M., Kaippallimalil, J., Akiyoshi, I., Qian, H., & Ni, H. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7045398 · Cited by 98 · see citing works
Kitindi, E. J., Fu, S., Jia, Y., Kabir, A., & Wang, Y. (2017) · IEEE Access · doi:10.1109/access.2017.2744672 · Cited by 98 · see citing works
Cross-layer scheduler for video streaming over MPTCP
Corbillon, X., Aparicio-Pardo, R., Kuhn, N., Texier, G., & Simon, G. (2016) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/2910017.2910594 · Cited by 97 · see citing works
MeFoRE: QoE based resource estimation at Fog to enhance QoS in IoT
Aazam, M., St-Hilaire, M., Lung, C.-H., & Lambadaris, I. (2016) · 2016 23rd International Conference on Telecommunications (ICT) · doi:10.1109/ict.2016.7500362 · Cited by 96 · see citing works
Ge, C., Wang, N., Foster, G., & Wilson, M. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2735301 · Cited by 90 · see citing works
A survey of interdomain routing policies
Gill, P., Schapira, M., & Goldberg, S. (2013) · ACM SIGCOMM Computer Communication Review · doi:10.1145/2567561.2567566 · Cited by 88 · see citing works
An effective approach to 5G: Wireless network virtualization
Feng, Z., Qiu, C., Feng, Z., Wei, Z., Li, W., & Zhang, P. (2015) · IEEE Communications Magazine · doi:10.1109/mcom.2015.7355585 · Cited by 88 · see citing works
On Using SDN in 5G: The Controller Placement Problem
Ksentini, A., Bagaa, M., & Taleb, T. (2016) · Globecom · doi:10.1109/glocom.2016.7842066 · Cited by 88 · see citing works
Towards subjective quality of experience assessment for omnidirectional video streaming
Schatz, R., Sackl, A., Timmerer, C., & Gardlo, B. (2017) · 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2017.7965657 · Cited by 88 · see citing works
QUIC: Better for what and for whom?
Cook, S., Mathieu, B., Truong, P., & Hamchaoui, I. (2017) · International Conference on Communications · doi:10.1109/icc.2017.7997281 · Cited by 88 · see citing works
C3: Internet-Scale Control Plane for Video Quality Optimization
Ganjam, A., Jiang, J., Liu, X., Sekar, V., Siddiqi, F., Stoica, I. G., Zhan, J., & Zhang, H. (2018) · KiltHub Repository · doi:10.1184/r1/6468473 · Cited by 86 · see citing works
An SDN-Based CDN/ISP Collaboration Architecture for Managing High-Volume Flows
Wichtlhuber, M., Reinecke, R., & Hausheer, D. (2015) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2015.2404792 · Cited by 86 · see citing works
Zhao, M., Gong, X., Liang, J., Wang, W., Que, X., & Cheng, S. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2357094 · Cited by 86 · see citing works
Istepanian, R., Philip, N., & Martini, M. (2009) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2009.090517 · Cited by 78 · see citing works
Self-citationDelivering stable high-quality video
Kleinrouweler, J. W., Cabrero, S., & Cesar, P. S. (2016) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/2910017.2910599 · Cited by 78 · see citing works
The SELFNET Approach for Autonomic Management in an NFV/SDN Networking Paradigm
Neves, P. M., Calé, R., Costa, M. R. P. F. N., Parada, C., Parreira, B., Calero, J. M. A., Wang, Q., Nightingale, J., Chirivella‐Perez, E., Jiang, W., et al. (2016) · International Journal of Distributed Sensor Networks · doi:10.1155/2016/2897479 · Cited by 77 · see citing works
Dynamic adaptive streaming over CCN: A caching and overhead analysis
Liu, Y., Geurts, J., Point, J.-C., Lederer, S., Rainer, B., Muller, C., Timmerer, C., & Hellwagner, H. (2013) · 2013 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2013.6655116 · Cited by 76 · see citing works
Edge Caching for Layered Video Contents in Mobile Social Networks
Su, Z., Xu, Q., Hou, F., Yang, Q., & Qi, Q. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2733338 · Cited by 76 · see citing works
Enhancing QoE-Aware Wireless Edge Caching With Software-Defined Wireless Networks
Liang, C., He, Y., Yu, F. R., & Zhao, N. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2734081 · Cited by 76 · see citing works
Davoli, L., Veltri, L., Ventre, P. L., Siracusano, G., & Salsano, S. (2015) · European Workshop on Software Defined Networks (EWSDN) · doi:10.1109/ewsdn.2015.73 · Cited by 74 · see citing works
User Quality of Experience of Mulsemedia Applications
Yuan, Z., Chen, S., Ghinea, G., & Muntean, G.-M. (2014) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/2661329 · Cited by 72 · see citing works
QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge
Ge, C., Wang, N., Skillman, S., Foster, G., & Cao, Y. (2016) · ACM Conference on Information-Centric Networking (ICN) · doi:10.1145/2984356.2988522 · Cited by 71 · see citing works
MPTCP Meets FEC: Supporting Latency-Sensitive Applications Over Heterogeneous Networks
Ferlin, S., Kučera, Š., Claußen, H., & Alay, Ö. (2018) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2018.2864192 · Cited by 71 · see citing works
Barman, N., Jammeh, E., Ghorashi, S. A., & Martini, M. G. (2019) · IEEE Access · doi:10.1109/access.2019.2920477 · Cited by 71 · see citing works
Self-citationGamingVideoSET: A Dataset for Gaming Video Streaming Applications
Barman, N., Zadtootaghaj, S., Schmidt, S., Martini, M. G., & Möller, S. (2018) · Annual Workshop on Network and Systems Support for Games (NetGames) · doi:10.1109/netgames.2018.8463362 · Cited by 71 · see citing works
Self-citationElastic network functions: opportunities and challenges
Szabó, R., Kind, M., Westphal, F.-J., Woesner, H., Jocha, D., & Császár, A. (2015) · IEEE Network · doi:10.1109/mnet.2015.7113220 · Cited by 70 · see citing works
Controller placement and flow based dynamic management problem towards SDN
Yao, L., Hong, P., Zhang, W., Li, J., & Ni, D. (2015) · 2015 IEEE International Conference on Communication Workshop (ICCW) · doi:10.1109/iccw.2015.7247206 · Cited by 68 · see citing works
5G-Crosshaul Network Slicing: Enabling Multi-Tenancy in Mobile Transport Networks
Li, X., Casellas, R., Landi, G., de la Oliva, A., Costa-Perez, X., Garcia-Saavedra, A., Deiss, T., Cominardi, L., & Vilalta, R. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600921 · Cited by 68 · see citing works
Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support
do Rosário, D. L., Schimuneck, M., Camargo, J., Nobre, J. C., Both, C. B., Rochol, J., & Gerla, M. (2018) · Sensors · doi:10.3390/s18020329 · Cited by 67 · see citing works
QoE-Assured 4K HTTP Live Streaming via Transient Segment Holding at Mobile Edge
Ge, C., Wang, N., Chai, W. K., & Hellwagner, H. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2845000 · Cited by 67 · see citing works
Impact of packet loss and delay variation on the quality of real-time video streaming
Frnda, J., Voznak, M., & Sevcik, L. (2016) · Telecommunication Systems · doi:10.1007/s11235-015-0037-2 · Cited by 64 · see citing works
Thakolsri, S., Kellerer, W., & Steinbach, E. G. (2011) · International Conference on Communications · doi:10.1109/icc.2011.5963296 · Cited by 63 · see citing works
Quality of Experience in the Multimedia Internet of Things: Definition and practical use-cases
Floris, A., & Atzori, L. (2015) · 2015 IEEE International Conference on Communication Workshop (ICCW) · doi:10.1109/iccw.2015.7247433 · Cited by 62 · see citing works
Self-citationInvestigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN
Rainer, B., Posch, D., & Hellwagner, H. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2577365 · Cited by 62 · see citing works
Can Multisensorial Media Improve Learner Experience?
Zou, L., Tal, I., Covaci, A., Ibarrola, E., Ghinea, G., & Muntean, G.-M. (2017) · Proceedings of the 8th ACM on Multimedia Systems Conference · doi:10.1145/3083187.3084014 · Cited by 62 · see citing works
Revisiting the controller placement problem
Huque, M. T. I. U., Jourjon, G., & Gramoli, V. (2015) · Conference on Local Computer Networks · doi:10.1109/lcn.2015.7366350 · Cited by 60 · see citing works
An Evaluation of Video Quality Assessment Metrics for Passive Gaming Video Streaming
Barman, N., Schmidt, S., Zadtootaghaj, S., Martini, M. G., & Möller, S. (2018) · doi:10.1145/3210424.3210434 · Cited by 60 · see citing works
Self-citationSoftware defined IoT: Issues and challenges
Ninikrishna, T., Sarkar, S., Tengshe, R., Jha, M. K., Sharma, L., Daliya, V. K., & Routray, S. K. (2017) · 2017 International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc.2017.8282560 · Cited by 59 · see citing works
Cloud4NFV: A platform for Virtual Network Functions
Soares, J., Dias, M., Carapinha, J., Parreira, B., & Sargento, S. (2014) · IEEE International Conference on Cloud Networking · doi:10.1109/cloudnet.2014.6969010 · Cited by 58 · see citing works
Simplifying software-defined network optimization using SOL
Heorhiadi, V., Reiter, M. K., & Sekar, V. (2016) · Networked Systems Design and Implementation · Cited by 57 · see citing works
Towards dynamic MPTCP Path control using SDN
Nam, H., Calin, D., & Schulzrinne, H. G. (2016) · doi:10.1109/netsoft.2016.7502424 · Cited by 57 · see citing works
Challenges of future multimedia QoE monitoring for internet service providers
Robitza, W., Ahmad, A., Kara, P. A., Atzori, L., Martini, M. G., Raake, A., & Sun, L. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4870-z · Cited by 57 · see citing works
Self-citationAn autonomic architecture for optimizing QoE in multimedia access networks
Latré, S., Simoens, P., Vleeschauwer, B. D., de Meerssche, W. V., Turck, F. D., Dhoedt, B., Demeester, P. M. A., den Berghe, S. V., & de Lumley, E. G. (2008) · Computer Networks · doi:10.1016/j.comnet.2008.11.004 · Cited by 56 · see citing works
Software-Defined Networking for Big-Data Science - Architectural Models from Campus to the WAN
Monga, I., Pouyoul, E., & Guok, C. P. (2012) · doi:10.1109/sc.companion.2012.341 · Cited by 56 · see citing works
Analysis of Buffer Starvation With Application to Objective QoE Optimization of Streaming Services
Xu, Y., Altman, E., El-Azouzi, R., Haddad, M., Elayoubi, S. E., & Jimenez, T. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2300041 · Cited by 56 · see citing works
QoE in video streaming over wireless networks: perspectives and research challenges
Su, G.-M., Su, X., Bai, Y., Wang, M., Vasilakos, A. V., & Wang, H. (2016) · Wireless Networks · doi:10.1007/s11276-015-1028-7 · Cited by 55 · see citing works
Rodríguez, D. Z., Wang, Z., Rosa, R. L., & Bressan, G. (2014) · EURASIP Journal on Wireless Communications and Networking · doi:10.1186/1687-1499-2014-216 · Cited by 55 · see citing works
A Novel QoE-Centric SDN-Based Multipath Routing Approach for Multimedia Services over 5G Networks
Barakabitze, A. A., Sun, L., Mkwawa, I.-H., & Ifeachor, E. (2018) · 2018 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2018.8422617 · Cited by 55 · see citing works
Self-citationVolk, M., Sterle, J., Sedlar, U., & Kos, A. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5534597 · Cited by 54 · see citing works
Experiences with an AR evaluation test bed: Presence, performance, and physiological measurement
Gandy, M., Catrambone, R., MacIntyre, B., Alvarez, C., Eiriksdottir, E., Hilimire, M., Davidson, B., & McLaughlin, A. C. (2010) · 2010 IEEE International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2010.5643560 · Cited by 54 · see citing works
Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach
Floris, A., & Atzori, L. (2016) · Sensors · doi:10.3390/s16122057 · Cited by 54 · see citing works
Self-citationA Scalable User Fairness Model for Adaptive Video Streaming Over SDN-Assisted Future Networks
Mu, M., Broadbent, M. T. M., Farshad, A., Hart, N., Hutchison, D., Ni, Q., & Race, N. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2577318 · Cited by 53 · see citing works
Skorin‐Kapov, L., Mošmondor, M., Dobrijević, O., & Matijašević, M. (2007) · IEEE Communications Magazine · doi:10.1109/mcom.2007.382669 · Cited by 52 · see citing works
QoE-SDN APP: A Rate-guided QoE-aware SDN-APP for HTTP Adaptive Video Streaming
Liotou, E., Samdanis, K., Pateromichelakis, E., Passas, N. I., & Merakos, L. F. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2815421 · Cited by 52 · see citing works
Multimedia streaming in information-centric networking: A survey and future perspectives
Faran Majeed, M., Hassan Ahmed, S., Muhammad, S., Song, H., & Rawat, D. B. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.05.030 · Cited by 51 · see citing works
Varela, M., Zwickl, P., Reichl, P., Xie, M., & Schulzrinne, H. G. (2015) · IEEE International Conference on Communications workshops · doi:10.1109/iccw.2015.7247432 · Cited by 50 · see citing works
Kassler, A., Skorin‐Kapov, L., Dobrijević, O., Matijašević, M., & Dely, P. (2012) · Cited by 49 · see citing works
Mulsemedia vs. Multimedia: State of the art and future trends
Sulema, Y. (2016) · 2016 International Conference on Systems, Signals and Image Processing (IWSSIP) · doi:10.1109/iwssip.2016.7502696 · Cited by 49 · see citing works
Content delivery network slicing: QoE and cost awareness
Retal, S., Bagaa, M., Taleb, T., & Flinck, H. (2017) · 2017 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2017.7996499 · Cited by 49 · see citing works
Huang, W., Ding, L., Meng, D., Hwang, J., Xu, Y., & Zhang, W. (2018) · IEEE Access · doi:10.1109/access.2018.2800036 · Cited by 49 · see citing works
Network-layer fairness for adaptive video streams
Mansy, A., Fayed, M. M., & Ammar, M. (2015) · IFIP Networking Conference (IFIP Networking) · doi:10.1109/ifipnetworking.2015.7145310 · Cited by 48 · see citing works
An architecture for on-demand service deployment over a telco CDN
Frangoudis, P. A., Yala, L., Ksentini, A., & Taleb, T. (2016) · 2016 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2016.7510921 · Cited by 47 · see citing works
On QoE-awareness through virtualized probes in 5G networks
Tselios, C., & Tsolis, G. (2016) · doi:10.1109/camad.2016.7790351 · Cited by 47 · see citing works
NR-GVQM: A No Reference Gaming Video Quality Metric
Zadtootaghaj, S., Barman, N., Schmidt, S., Martini, M. G., & Möller, S. (2018) · IEEE International Symposium on Multimedia (ISM) · doi:10.1109/ism.2018.00031 · Cited by 46 · see citing works
Self-citationAnt colony optimization for QoE-centric flow routing in software-defined networks
Dobrijevic, O., Santl, M., & Matijasevic, M. (2015) · 2015 11th International Conference on Network and Service Management (CNSM) · doi:10.1109/cnsm.2015.7367371 · Cited by 44 · see citing works
An HTTP/2 Push-Based Approach for Low-Latency Live Streaming with Super-Short Segments
van der Hooft, J., Petrangeli, S., Wauters, T., Huysegems, R., Bostoen, T., & Turck, F. D. (2017) · Journal of Network and Systems Management · doi:10.1007/s10922-017-9407-2 · Cited by 44 · see citing works
A learning-based algorithm for improved bandwidth-awareness of adaptive streaming clients
van der Hooft, J., Petrangeli, S., Claeys, M., Famaey, J., & Turck, F. D. (2015) · IFIP/IEEE International Symposium on Integrated Network Management (IM) · doi:10.1109/inm.2015.7140285 · Cited by 43 · see citing works
Network Assisted Content Distribution for Adaptive Bitrate Video Streaming
Bhat, D., Rizk, A., Zink, M., & Steinmetz, R. (2017) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/3083187.3083196 · Cited by 43 · see citing works
Multimedia IoT systems and applications
Wang, Q., Zhao, Y., Wang, W., Minoli, D., Sohraby, K., Zhu, H., & Occhiogrosso, B. (2017) · 2017 Global Internet of Things Summit (GIoTS) · doi:10.1109/giots.2017.8016221 · Cited by 43 · see citing works
Modeling Gaming QoE: Towards the Impact of Frame Rate and Bit Rate on Cloud Gaming
Zadtootaghaj, S., Schmidt, S., & Möller, S. (2018) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2018.8463416 · Cited by 43 · see citing works
Self-citationAn open framework to enable NetFATE (Network Functions at the edge)
Lombardo, A., Manzalini, A., Schembra, G., Faraci, G., Rametta, C., & Riccobene, V. (2015) · IEEE International Conference on Network Softwarization (NetSoft) · doi:10.1109/netsoft.2015.7116179 · Cited by 42 · see citing works
Design and evaluation of a foveated video streaming service for commodity client devices
Ryoo, J., Yun, K., Samaras, D., Das, S. R., & Zelinsky, G. (2016) · Proceedings of the 7th International Conference on Multimedia Systems · doi:10.1145/2910017.2910592 · Cited by 41 · see citing works
Content Delivery Networks as a Virtual Network Function: A Win-Win ISP-CDN Collaboration
Herbaut, N., Négru, D., Chen, Y., Frangoudis, P. A., & Ksentini, A. (2016) · Globecom · doi:10.1109/glocom.2016.7841689 · Cited by 41 · see citing works
(2017) · doi:10.1109/icccn.2017.8038439 · Cited by 41 · see citing works
QoE-based transport optimization for video delivery over next generation cellular networks
Amram, N., Fu, B., Kunzmann, G., Melia, T., Munaretto, D., Randriamasy, S., Sayadi, B., Widmer, J., & Zorzi, M. (2011) · IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2011.5984019 · Cited by 40 · see citing works
Intelligent 5G Networks: Managing 5G Wireless\/Mobile Broadband
Demestichas, P., Γεωργακόπουλος, Α., Tsagkaris, K. A., & Kotrotsos, S. (2015) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2015.2446419 · Cited by 40 · see citing works
Toward Delay-Efficient Game-Aware Data Centers for Cloud Gaming
Amiri, M., Osman, H. A., Shirmohammadi, S., & Abdallah, M. (2016) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/2983639 · Cited by 40 · see citing works
Orchestration of Network Services across multiple operators: The 5G Exchange prototype
Sgambelluri, A., Tusa, F., Gharbaoui, M., Maini, E., Toka, L., Pérez, J. M., Paolucci, F., Martini, B., Poe, W. Y., Melián, J., et al. (2017) · European Conference on Networks and Communications · doi:10.1109/eucnc.2017.7980666 · Cited by 39 · see citing works
Balancing the migration of virtual network functions with replications in data centers
Carpio, F., Jukan, A., & Pries, R. (2018) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2018.8406275 · Cited by 38 · see citing works
Flagged first, then by citations
4 of the 343 references couldn’t be matched to a known paper.
Research works printed but not linked: 79
- lederer, 2013, Adaptive streaming over HTTP in content centric networks, Proc IEEE Int Conf Multimedia Expo (ICME), 1
- kitanov, 2016, Quality evaluation of cloud and fog orchestrated services in 5G mobile networks, Enabling Technologies and Architectures for Next-Generation Networking Capabilities, 1, 1
- 2015, HP OpenNFV Reference Architecture
- 2014, Cisco NFV Solution Enabling Rapid Service Innovation in the Era of Virtualization
- 2019, Intel Open Network Platform
- 2014, CloudBand With OpenStack as NFV Platform Strategic White Paper NFV Insights Series Alcatel Lucent RedHat Boulogne Billancourt France
- 2019, Alcatel-Lucent CloudBand
- 2015, Internet Research Task Force Network Function Virtualization Research Group (NFVRG)
- 2015, Broadcom Open NFV
- 2014, ETSI GS NFV-SWA 001 ETSI Industry Specification Group (ISG) NFV Network Functions Virtualisation (NFV) Virtual Network Functions Architecture
- 2015, The Internet Engineering Task Force (IETF) Service Function Chaining (SFC) Working Group (WG)
- 2015, CloudNFV
- 2015, Huawei NFV Open Lab
- 2015, Alliance for Telecommunications Industry Solutions Network Functions Virtualization Forum ATIS Network Functions Virtualization (NFV)
- 2015, ETSI GS NFV-REL 001 V1 1 1 Network Functions Virtualisation (NFV) Resiliency Requirements ETSI Industry Specification Group (ISG) Network Functions Virtualisation (NFV)
- 2014, ZOOM Project—Zero-Touch Orchestration Operations and Management
- 2015, Open Platform for NFV (OPNFV)
- 2015, The Broadband Forum Technical Work in Progress
- 2015, Broadband Forum
- 2015, Network Functions Virtualisation (NFV) Ecosystem Report on SDN Usage in NFV Architectural Framework
- lopez, 2015, OpenMANO: The data plane ready open source NFV MANO stack, Proceedings of ietf Meeting, 1
- 2014, ETSI GS NFV-SEC 003 V1 1 1 Network Functions Virtualisation (NFV) NFV Security Security and Trust Guidance Industry Specification Group (ISG) Network Functions Virtualisation (NFV)
- liu, 2017, A 360-degree 4K×2K panoramic video processing over smart-phones, Proc IEEE Int Conf Consum Electron (ICCE), 247
- 2014, ETSI NFV ISG ETSI GS NFV-PER 002 V1 1 2 Network Functions Virtualisation (NFV) Proof of Concepts Framework
- 2014, ETSI GS NFV 003 V1 2 1 Network Functions Virtualisation (NFV) Terminology for Main Concepts in NFV ETSI Industry Specification Group (ISG) Network Functions Virtualisation (NFV)
- 2013, ETSI GS NFV 001 V1 1 1 Network Function Virtualization Use Cases ETSI Industry Specification Group (ISG) Network Functions Virtualisation (NFV)
- 2013, Network Functions Virtualisation (NFV) Architectural Framework Technical Report ETSI GS NFV 002 v1 1 1
- 2014, ETSI GS NFV-MAN 001 V1 1 1 Network Functions Virtualisation (NFV) Management and orchestration ETSI Industry Specification Group (ISG) Network Functions Virtualisation (NFV)
- 2019, OpenStack
- 2019, Apache Cloudstack
- 2019, OpenDaylight
- hoßfeld, 2018, Quality and user experience, IEEE/ACM Trans Netw, 3, 1
- 2017, Preview Information Technology—Dynamic Adaptive Streaming Over HTTP (DASH)—Part 1 Media Presentation Description and Segment Formats
- doria, 2010, Internet Engineering Task Force (IETF) Forwarding and Control Element Separation (ForCES)
- smith, 2014, OpFlex Control Protocol Internet Draft
- 2019, Open Networking Foundation (ONF)
- taylor, 2014, A Guide to NFV and SDN White Paper
- 2019, VMware virtual platform technical white paper
- 2012, RYU network operating system
- 2012, Floodlight is A Java-Based OpenFlow Controller
- 10.1109/tmc.2015.2497238 · DOI
- 2013, HP SDN Controller Architecture
- 2019, Draft Standard for Software Defined Networking and Network Function Virtualization Security
- 2019, Draft Standard for Software Defined Networking and Network Function Virtualization Performance
- 2019, Standard for Software Defined Networking and Network Function Virtualization Reliability
- 0, Cisco Visual Networking Index Global Mobile Data Traffic Forecast Update 20122017 Cisco White Paper
- 2019, Metro Ethernet Forum (MEF)
- 2017, Information Technology—Dynamic Adaptive Streaming Over HTTP (DASH)—Part 5 Server and Network Assisted DASH (SAND)
- 2015, Per-Title Encode Optimization
- 2016, Global Internet Phenomena Report North America and Latin America
- aditya, 2013, SoftRAN: Software defined radio access network, Proc 2nd ACM SIGCOMM Workshop Hot Topics Softw Defined Netw, 25
- li, 2012, CellSDN: Software-defined cellular networks, European Workshop on Software Defined Networking (EWSDN), 6
- 2019, Google Edge Network
- 2016, Vocabulary for performance and quality of service Amendment 5 New definitions for inclusion
- kuzyakov, 0, Next-generation video encoding techniques for 360 video and VR
- 2019, AOMedia Video 1 (AV1)
- dryjanski, 2017, Towards 5G—Research Activities in Europe (HORIZON 2020 Projects
- 2019, Opensdncore research and testbed for the carrier-grade nfv/sdn environment
- 2019, Open5GCore—The Next Mobile Core Network Testbed Platform
- crippa, 2017, Resource sharing for a 5G multi-tenant and multi-service architecture, Proc Eur Wireless 23rd Eur Wireless Conf, 1
- 2016, Toward A Practical Perceptual Video Quality Metric
- 2008, Subjective video quality assessment methods for multimedia applications
- 2012, Methodology for the Subjective Assessment of the Quality of Television Pictures
- 2016, Methods for the Subjective Assessment of Video Quality Audio Quality and Audiovisual Quality of Internet Video and Distribution Quality Television in Any Environment
- staehle, 2010, YoMo: A YouTube application comfort monitoring tool, Proc EuroITV Workshop QoE Multimedia Content Sharing (QoEMCS)
- 2019, Huawei Technologies Virtual Reality/Augmented Reality White Paper
- barakabitze, 2014, Caching and data routing in information centric networking (ICN): The future Internet perspective, Int J Adv Res Comput Sci Softw Eng, 4, 26
- abbas, 2015, Evolution of LTE and related technologies towards IMT-advanced, Int J Adv Res Comput Sci Softw Eng, 5, 16
- 2019, RIFT Io
- 2019, Anssr Data-Engine
- 2019, A Linux Foundation Project
- 2019, OpenMano
- 2017, Apple HTTP Live Streaming
- 2019, ESTI NFV
- 2017, Adobe HTTP Dynamic Streaming
- 2019, AT & T Enhanced Control Orchestration Management and Policy (ECOMP) Architecture
- 2017, Microsoft Silverlight Smooth Streaming
- 2017, Influence factors on gaming quality of experience (QoE)
- 2018, Subjective evaluation methods for gaming quality
Cited by
Sorted by citations
5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges
Barakabitze, A. A., Ahmad, A., Mijumbi, R., & Hines, A. (2019) · Computer Networks · doi:10.1016/j.comnet.2019.106984 · Cited by 842 · see citing works
Self-citationA Survey of Network Automation for Industrial Internet-of-Things Toward Industry 5.0
Chi, H. R., Wu, C. K., Huang, N., Tsang, K. F., & Radwan, A. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3215231 · Cited by 214 · see citing works
Healthcare 5.0: In the Perspective of Consumer Internet-of-Things-Based Fog/Cloud Computing
Chi, H. R., Domingues, M. F., Zhu, H., Li, C., Kojima, K., & Radwan, A. (2023) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2023.3293993 · Cited by 144 · see citing works
Video Caching, Analytics, and Delivery at the Wireless Edge: A Survey and Future Directions
Jedari, B., Premsankar, G., Illahi, G. K., Francesco, M. D., Mehrabi, A., & Ylä-Jääski, A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3035427 · Cited by 139 · see citing works
Toward immersive communications in 6G
Shen, X. (., Gao, J., Li, M., Zhou, C., Hu, S., He, M., & Zhuang, W. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.1068478 · Cited by 124 · see citing works
QoE in IoT: a vision, survey and future directions
Fizza, K., Banerjee, A., Mitra, K., Jayaraman, P. P., Ranjan, R., Patel, P., & Georgakopoulos, D. (2021) · Discover Internet of Things · doi:10.1007/s43926-021-00006-7 · Cited by 107 · see citing works
Tahir, M., Habaebi, M. H., Dabbagh, M., Mughees, A., Ahad, A., & Ahmed, K. I. (2020) · IEEE Access · doi:10.1109/access.2020.3003020 · Cited by 99 · see citing works
A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction
Kougioumtzidis, G., Poulkov, V. K., Zaharis, Z. D., & Lazaridis, P. I. (2022) · IEEE Access · doi:10.1109/access.2022.3149592 · Cited by 95 · see citing works
Nasralla, M. M., Khattak, S. B. A., Rehman, I. U., & Iqbal, M. (2023) · Sensors · doi:10.3390/s23135882 · Cited by 92 · see citing works
Resource-Constrained EXtended Reality Operated With Digital Twin in Industrial Internet of Things
Kamdjou, H. M., Baudry, D., Havard, V., & Ouchani, S. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3356508 · Cited by 80 · see citing works
Sasiain, J., Franco, D., Atutxa, A., Astorga, J., & Jacob, E. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3422613 · Cited by 78 · see citing works
SDN and NFV for QoE-driven multimedia services delivery: The road towards 6G and beyond networks
Barakabitze, A. A., & Walshe, R. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109133 · Cited by 94 · see citing works
Self-citationA Contemporary Survey on Live Video Streaming from a Computation-Driven Perspective
Dao, N., Tran, A.-T., Tu, N. H., Thanh, T. T., Bao, V. N. Q., & Cho, S. (2022) · ACM Computing Surveys · doi:10.1145/3519552 · Cited by 67 · see citing works
Cunha, J., Ferreira, P., Barbero, E. M. C., Oliveira, P., Nicolau, M. J., Núñez, I., Sousa, X. R., & Serôdio, C. (2024) · Future Internet · doi:10.3390/fi16070226 · Cited by 62 · see citing works
Efficient Resource Allocation for Multimedia Streaming in Software-Defined Internet of Vehicles
Montazerolghaem, A. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3303404 · Cited by 55 · see citing works
Anwar, M. S., Choi, A., Ahmad, S., Aurangzeb, K., Laghari, A. A., Gadekallu, T. R., & Hines, A. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.111577 · Cited by 57 · see citing works
Ahmad, A., Mansoor, A. B., Barakabitze, A. A., Hines, A., Atzori, L., & Walshe, R. (2021) · IEEE Communications Magazine · doi:10.1109/mcom.001.2100109 · Cited by 43 · see citing works
Self-citationOnline multimedia traffic classification from the QoS perspective using deep learning
Wu, Z., Dong, Y., Qiu, X., & Jin, J. (2022) · Computer Networks · doi:10.1016/j.comnet.2021.108716 · Cited by 39 · see citing works
Double-Agent Reinforced vNFC Deployment in EONs for Cloud-Edge Computing
Zhu, R., Wang, P., Geng, Z., Zhao, Y., & Yu, S. (2023) · Journal of Lightwave Technology · doi:10.1109/jlt.2023.3261068 · Cited by 34 · see citing works
Joint User Grouping, Version Selection, and Bandwidth Allocation for Live Video Multicasting
Zhang, Z., Zeng, M., Chen, M., Liu, D., Saad, W., Cui, S. R., & Poor, H. V. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3115480 · Cited by 34 · see citing works
QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management
Saovapakhiran, B., Naruephiphat, W., Charnsripinyo, C., Baydere, Ş., & Özdemi̇r, S. (2022) · IEEE Access · doi:10.1109/access.2022.3197585 · Cited by 34 · see citing works
NOMA Assisted Two-Tier VR Content Transmission: A Tile-Based Approach for QoE Optimization
Li, Y., Dou, C., Wu, Y., Jia, W., & Lu, R. (2023) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2023.3280739 · Cited by 33 · see citing works
A Repeated Auction Model for Load-Aware Dynamic Resource Allocation in Multi-Access Edge Computing
Habiba, U., Maghsudi, S., & Hossain, E. (2023) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2023.3338602 · Cited by 31 · see citing works
Data Caching Optimization With Fairness in Mobile Edge Computing
Zhou, J., Chen, F., He, Q., Xia, X., Wang, R., & Xiang, Y. (2022) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2022.3197881 · Cited by 30 · see citing works
Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking
Beshley, M., Veselý, P., Pryslupskyi, A., Beshley, H., Kyryk, M., Romanchuk, V., & Kahalo, I. (2020) · Applied Sciences · doi:10.3390/app10228223 · Cited by 30 · see citing works
Zarini, H., Khalili, A., Tabassum, H., Rasti, M., & Saad, W. (2021) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2021.3123200 · Cited by 30 · see citing works
The Role of 6G Networks in Enabling Future Smart Health Services and Applications
Khattak, S. B. A., Nasralla, M. M., & Rehman, I. U. (2022) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc255366.2022.9922093 · Cited by 30 · see citing works
ALIVE: A Latency- and Cost-Aware Hybrid P2P-CDN Framework for Live Video Streaming
Farahani, R., Çetinkaya, E., Timmerer, C., Shojafar, M., Ghanbari, M., & Hellwagner, H. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2023.3335190 · Cited by 29 · see citing works
A Survey on Intelligent Solutions for Increased Video Delivery Quality in Cloud–Edge–End Networks
Shi, W., Li, Q., Qian, Y., Wang, F., Shen, G., Jiang, Y., Xu, Y., Ma, L., & Muntean, G. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3427360 · Cited by 31 · see citing works
Kalan, R. S., & Dulger, I. (2024) · IEEE Access · doi:10.1109/access.2024.3491613 · Cited by 30 · see citing works
Qadeer, A., & Lee, M. J. (2023) · IEEE Access · doi:10.1109/access.2023.3249153 · Cited by 28 · see citing works
Subhan, F. E., Yaqoob, A., Muntean, C. H., & Muntean, G. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3442149 · Cited by 30 · see citing works
Exploring prospects of blockchain and fintech: using SLR approach
Kayani, U. N. (2023) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-01-2023-0005 · Cited by 29 · see citing works
A Quality of Experience Management Method For Intent-Based Software-Defined Networks
Medvetskyi, M., Beshley, M., & Klymash, M. M. (2021) · International Conference on Experience of Designing and Applications of CAD Systems in Microelectronics · doi:10.1109/cadsm52681.2021.9385250 · Cited by 24 · see citing works
Hybrid P2P-CDN Architecture for Live Video Streaming: An Online Learning Approach
Farahani, R., Bentaleb, A., Çetinkaya, E., Timmerer, C., Zimmermann, R., & Hellwagner, H. (2022) · Globecom · doi:10.1109/globecom48099.2022.10001091 · Cited by 23 · see citing works
Liu, Y., Du, H., Niyato, D. T., Kang, J., Xiong, Z., Jamalipour, A., & Shen, X. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3390208 · Cited by 23 · see citing works
An End-to-End Pipeline Perspective on Video Streaming in Best-Effort Networks: A Survey and Tutorial
Peroni, L., & Gorinsky, S. (2025) · ACM Computing Surveys · doi:10.1145/3742472 · Cited by 21 · see citing works
Farahani, R., Tashtarian, F., Erfanian, A., Timmerer, C., Ghanbari, M., & Hellwagner, H. (2021) · International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV) · doi:10.1145/3458306.3460997 · Cited by 21 · see citing works
Digital Taste in Mulsemedia Augmented Reality: Perspective on Developments and Challenges
Duggal, A. S., Singh, R., Gehlot, A., Rashid, M. U., Alshamrani, S. S., & AlGhamdi, A. S. (2022) · Electronics · doi:10.3390/electronics11091315 · Cited by 20 · see citing works
Internet of multimedia things (IoMT): A review
Laghari, A. A., Li, H., Karim, S., Hyder, W., Yin, S., Khan, A. A., & Laghari, R. A. (2024) · The Review of Socionetwork Strategies · doi:10.1007/s12626-024-00175-1 · Cited by 20 · see citing works
Beshley, M., Kryvinska, N., & Beshley, H. (2023) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2023.102771 · Cited by 19 · see citing works
Beshley, M., Kryvinska, N., Beshley, H., Panchenko, O., & Medvetskyi, M. (2024) · Journal of Communications and Networks · doi:10.23919/jcn.2023.000065 · Cited by 19 · see citing works
Edge Computing Assisted Adaptive Streaming Scheme for Mobile Networks
Kim, M., & Chung, K. (2020) · IEEE Access · doi:10.1109/access.2020.3047373 · Cited by 19 · see citing works
QoE‐aware traffic monitoring based on user behavior in video streaming services
Laiche, F., Letaïfa, A. B., & Aguili, T. (2021) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.6678 · Cited by 18 · see citing works
Jain, A., Singh, T., & Sharma, S. (2021) · Interdisciplinary Journal of Information Knowledge and Management · doi:10.28945/4838 · Cited by 18 · see citing works
Qadeer, A., & Lee, M. J. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10366-2 · Cited by 18 · see citing works
A Survey on Virtual Network Functions for Media Streaming: Solutions and Future Challenges
Viola, R., Martín, Á., Zorrilla, M., Montalbán, J., Angueira, P., & Muntean, G. (2022) · ACM Computing Surveys · doi:10.1145/3567826 · Cited by 17 · see citing works
Reinforcement Learning-Based Adaptive Streaming Scheme with Edge Computing Assistance
Kim, M., & Chung, K. (2022) · Sensors · doi:10.3390/s22062171 · Cited by 16 · see citing works
Alsader, M., Barakabitze, A. A., & Mkwawa, I.-H. M. (2025) · IEEE Access · doi:10.1109/access.2025.3597058 · Cited by 21 · see citing works
Self-citationNaresh, M., Das, V., Saxena, P., & Gupta, M. (2022) · Computing · doi:10.1007/s00607-021-01046-1 · Cited by 16 · see citing works
Hewage, C. T. E. R., Ahmad, A., Mallikarachchi, T., Barman, N., & Martini, M. G. (2022) · IEEE Access · doi:10.1109/access.2022.3180491 · Cited by 18 · see citing works
Self-citationXenakis, D. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2023.3329662 · Cited by 15 · see citing works
QoE-Aware Container Scheduler for Co-located Cloud Environments
Carvalho, M., & Macedo, D. F. (2021) · IFIP/IEEE International Symposium on Integrated Network Management (IM) · Cited by 15 · see citing works
DB-CMT: A New Concurrent Multi-path Stream Control Transport Protocol
Verma, L. P., Sharma, V. K., Kumar, M., Kanellopoulos, D. N., & Mahanti, A. (2022) · Journal of Network and Systems Management · doi:10.1007/s10922-022-09677-1 · Cited by 15 · see citing works
Timber: An SDN-Based Emulation Platform for Experimental Research on Video Streaming
Ahmad, A., Floris, A., & Atzori, L. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.2999683 · Cited by 14 · see citing works
Self-citationWu, K., Chen, J., Chen, L., Liu, Z., Yi, C., Xu, S., Wang, J., & Kang, J. (2025) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2025.3558358 · Cited by 14 · see citing works
QoESoft: QoE Management Architecture for Softwarized 5G Networks
Barakabitze, A. A., Liyanage, M., & Hines, A. (2020) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops49005.2020.9145229 · Cited by 14 · see citing works
Self-citationContainer Scheduling in Co-Located Environments Using QoE Awareness
Carvalho, M., & Macedo, D. F. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2023.3244090 · Cited by 13 · see citing works
Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices
Rodrigues, D. O., Souza, A. M. D., Braun, T. I., Maia, G., Loureiro, A. A. F., & Villas, L. A. (2023) · Journal of Internet Services and Applications · doi:10.5753/jisa.2023.2913 · Cited by 13 · see citing works
Omar, M. H. H., Kouraogo, P. J., Kabre Windmi Jonathan, M., Tapsoba, D., & Pr, S. O. (2024) · Journal of Computer Networks and Communications · doi:10.1155/2024/7864757 · Cited by 13 · see citing works
FEUAGame: Fairness-Aware Edge User Allocation for App Vendors
Zhou, J., Chen, F., Cui, G., Xiang, Y., & He, Q. (2024) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2024.3409548 · Cited by 13 · see citing works
A QoE Inference Method for DASH Video Using ICMP Probing
Miranda, G., Macedo, D. F., & Márquez-Barja, J. M. (2020) · International Conference on Network and Service Management (CNSM) · doi:10.23919/cnsm50824.2020.9269120 · Cited by 13 · see citing works
Tenant-defined service function chaining in a multi-site network slice
Paganelli, F., Cappanera, P., & Cuffaro, G. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.03.002 · Cited by 13 · see citing works
Road to Salvation: Streaming Clients and Content Delivery Networks Working Together
Begen, A. C., Bentaleb, A., Silhavy, D., Pham, S., Zimmermann, R., & Law, W. (2021) · IEEE Communications Magazine · doi:10.1109/mcom.121.2100137 · Cited by 13 · see citing works
Quality of Things' Experience for 6G Artificial Intelligent Internet of Things with IEEE P2668
Chi, H. R., & Radwan, A. (2023) · IEEE Communications Magazine · doi:10.1109/mcom.001.2200498 · Cited by 13 · see citing works
EVeREst: Bitrate Adaptation for Cloud VR
Liubogoshchev, M., Korneev, E., & Khorov, E. (2021) · Electronics · doi:10.3390/electronics10060678 · Cited by 13 · see citing works
Toward the EthicNet: Challenges and Enablers for Ethics-Aware Networks
Atzori, L., Campolo, C., Iera, A., & Morabito, G. (2023) · IEEE Communications Magazine · doi:10.1109/mcom.004.2300110 · Cited by 12 · see citing works
Self-citationQoE-Driven Proactive Caching With DRL in Sustainable Cloud-to-Edge Continuum
He, X., Jiang, Y., Cui, H., Liu, Y., Chen, M., Guizani, M., & Mumtaz, S. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3577197 · Cited by 12 · see citing works
Personalized QoE Enhancement for Adaptive Video Streaming: A Digital Twin-Assisted Scheme
Huang, X., Zhou, C., Wu, W. R., Li, M., Wu, H., & Shen, X. (2022) · Globecom · doi:10.1109/globecom48099.2022.10001020 · Cited by 12 · see citing works
Barakabitze, A. A., Mkwawa, I.-H. M., Hines, A., Sun, L., & Ifeachor, E. (2020) · IEEE Access · doi:10.1109/access.2020.3039953 · Cited by 11 · see citing works
Self-citationMultiplexing eMBB and mMTC Services over Aerial Visible Light Communications
Zarini, H., Maleki, M. R., Gholipoor, N., Mili, M. R., Rasti, M., Movaghar, A., Ng, D. W. K., & Hossain, E. (2023) · International Conference on Communications · doi:10.1109/icc45041.2023.10279143 · Cited by 11 · see citing works
Cho, Y.-J., Yoo, H.-M., Kim, K.-S., Na, J., & Hong, E. (2024) · IEEE Access · doi:10.1109/access.2024.3452434 · Cited by 10 · see citing works
Kougioumtzidis, G., Poulkov, V. K., Lazaridis, P. I., & Zaharis, Z. D. (2025) · IEEE Access · doi:10.1109/access.2025.3538546 · Cited by 10 · see citing works
Panahi, P. H. S., Jalilvand, A. H., & Diyanat, A. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3543750 · Cited by 10 · see citing works
Forecasting Healthcare 5.0 Driven IoMT for a Seamless Continuum of Care
Gezimati, M., & Singh, G. K. (2025) · IEEE Access · doi:10.1109/access.2025.3583884 · Cited by 11 · see citing works
Batista, J. O. R., da Silva, D. C., Martucci, M., Silveira, R. M., & Cugnasca, C. E. (2021) · Applied Sciences · doi:10.3390/app112411914 · Cited by 10 · see citing works
Survey on Quality of Experience Evaluation for Cloud-Based Interactive Applications
Arellano-Uson, J., Magaña, E., Morató, D., & Izal, M. (2024) · Applied Sciences · doi:10.3390/app14051987 · Cited by 9 · see citing works
Yaqoob, A., & Muntean, G. (2024) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2024.3450014 · Cited by 9 · see citing works
Quality-of-Decision-Driven Machine-Type Communication
Zhao, L., Wu, D., & Zhou, L. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3150366 · Cited by 9 · see citing works
Future Intent-Based Networking for QoE-Driven Business Models
Beshley, M., Klymash, M. M., Beshley, H., Urikova, O., & Bobalo, Y. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-3-030-92435-5_1 · Cited by 9 · see citing works
From PHY to QoE: A Parameterized Framework Design
Wang, H., Ji, L., & Gao, Z. (2022) · IEEE Vehicular Technology Conference · doi:10.1109/vtc2022-spring54318.2022.9860879 · Cited by 9 · see citing works
Addressing ZSM Security Issues with Blockchain Technology
Xevgenis, M. G., Kogias, D. G., Karkazis, P., & Leligou, H. C. (2023) · Future Internet · doi:10.3390/fi15040129 · Cited by 9 · see citing works
Virtual Router Design and Modeling for Future Networks with QoS Guarantees
Beshley, M., Kryvinska, N., Beshley, H., Yaremko, O., & Pyrih, Y. (2021) · Electronics · doi:10.3390/electronics10101139 · Cited by 9 · see citing works
QoE Management of Multimedia Services Using Machine Learning in SDN/NFV 5G Networks
Barakabitze, A. A., & Hines, A. (2022) · doi:10.1002/9781119800828.ch5 · Cited by 9 · see citing works
Self-citationBarakabitze, A. A., & Hines, A. (2022) · doi:10.1002/9781119800828.ch6 · Cited by 9 · see citing works
Self-citationA comprehensive review of quality of experience for emerging video services
Chen, W., Lan, F., Wei, H., Zhao, T., Liu, W., & Xu, Y. (2024) · Signal Processing Image Communication · doi:10.1016/j.image.2024.117176 · Cited by 10 · see citing works
QoE-Oriented Routing Model for the Future Intent-Based Networking
Pryslupskyi, A., Beshley, M., Beshley, H., Pyrih, Y., & Branytskyy, A. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-3-030-92435-5_7 · Cited by 8 · see citing works
Farahani, R., Amirpour, H., Tashtarian, F., Bentaleb, A., Timmerer, C., Hellwagner, H., & Zimmermann, R. (2022) · Mile-High Video Conference (MHV) · doi:10.1145/3510450.3517290 · Cited by 8 · see citing works
Tran, N., Truong, T. P., Do, Q. T., Dao, N., & Cho, S. (2024) · Internet of Things · doi:10.1016/j.iot.2024.101145 · Cited by 9 · see citing works
Improving the Transfer of Machine Learning-Based Video QoE Estimation Across Diverse Networks
Seufert, M., & Oršolić, I. (2023) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2023.3326664 · Cited by 7 · see citing works
Silva, F. S. D., Bessa, A., Silva, S. N., Ferino, S., Paiva, P., de Medeiros, M. F. M., da Silva, L. F. M., Neto, J., Costa, K. B., Santos, C., et al. (2023) · IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) · doi:10.1109/nfv-sdn59219.2023.10329589 · Cited by 7 · see citing works
Cross-layer optimization in wireless sensor networks for energy-efficient multimedia transmission
Waghmare, M. B., Chatur, P. N., Waghmare, K. A., & Mante, R. V. (2025) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-025-02074-w · Cited by 7 · see citing works
Xianxiao, Z. (2024) · Entertainment Computing · doi:10.1016/j.entcom.2024.100676 · Cited by 7 · see citing works
Nguyen, H. H. C., Grzonka, D., Khoa, B. T., Sagar, K. V. D., Abbasi, I. A., Mahaveerakannan, R., & Alkhayyat, A. H. (2023) · Mobile Networks and Applications · doi:10.1007/s11036-023-02214-7 · Cited by 7 · see citing works
Defining and Assessing Quality in IoT Environments: A Survey
Sgora, A., & Chatzimisios, P. (2022) · IoT · doi:10.3390/iot3040026 · Cited by 6 · see citing works
Sarvade, V. P., & Kulkarni, S. A. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05642-4 · Cited by 6 · see citing works
QoS Enhancement In VoD Systems: Load Management And Replication Policy Optimization Perspectives
Alaya, B., & Khan, R. (2020) · The Computer Journal · doi:10.1093/comjnl/bxaa060 · Cited by 6 · see citing works
User Experience of 5G Video Services in Indonesia: Predictions Based on a Structural Equation Model
Mardian, R. D., Suryanegara, M., & Ramli, K. (2022) · Information · doi:10.3390/info13030155 · Cited by 6 · see citing works
Fog Computing Quality of Experience
Vambe, W. T. (2023) · International Journal of Fog Computing · doi:10.4018/ijfc.317110 · Cited by 6 · see citing works
A feature selection for video quality of experience modeling: A systematic literature review
Skaka-Čekić, F., & Husić, J. B. (2023) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1497 · Cited by 6 · see citing works
- Authors
- Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L.
- Affiliations
- University of Plymouth (GB)
- Kingston University London (GB)
- IS-Wireless (Poland) (PL)
- Technische Universität Berlin (DE)
- University of Cagliari (IT)
- ORCID
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2020
- Volume
- 22
- Issue
- 1
- Pages
- 526-565
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2991779680
- Semantic Scholar
- e976316e8b9daceb475ceceb3678cf0dea0d4421
- Cited by
- 239
- References
- 343
- Citations by year
- 2026: 20 · 2025: 40 · 2024: 31 · 2023: 44 · 2022: 44 · 2021: 44 · 2020: 15 · 2019: 1
- FWCI
- 14.24
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Communications Surveys & Tutorials (publishedVersion)
- Research Repository (Kingston University London) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- PEARL (University of Plymouth) (submittedVersion)
- UNICA IRIS Institutional Research Information System (University of Cagliari) (submittedVersion, other-oa)
- arXiv (Cornell University) (cc-by)
- Funders
- European Union of Horizon2020 Research and Innovation Programme through Marie Skłodowska-Curie Innovative Training Networks (643072)
- Network QoE-NET
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Keywords
- streaming media, over-the-top services, software-defined networking, network function virtualization, HTTP adaptive streaming, QoE monitoring, mobile edge computing, fog computing, information-centric networking, immersive virtual reality, video gaming, network slicing, network orchestration, softwarized networks, big data
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review