Learning-based approach for layered adaptive video streaming over SDN
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500 · see citing works
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225 · see citing works
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,263 · see citing works
McKeown (2008) · doi:10.1145/1355734.1355746 · Cited by 8,513 · see citing works
Introduction to Reinforcement Learning
Sutton, R. S., & Barto, A. G. (1998) · The MIT Press eBooks · Cited by 6,855 · see citing works
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
Schwarz, H., Marpe, D., & Wiegand, T. (2007) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2007.905532 · Cited by 3,557 · see citing works
Dowsland, K. A., & Thompson, J. M. (2012) · Springer eBooks · doi:10.1007/978-3-540-92910-9_49 · Cited by 2,432 · see citing works
Lantz, B., Heller, B., & McKeown, N. (2010) · doi:10.1145/1868447.1868466 · Cited by 1,828 · see citing works
Bertsimas, D., & Tsitsiklis, J. N. (1993) · Statistical Science · doi:10.1214/ss/1177011077 · Cited by 1,291 · see citing works
Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale
Li, Z., Zhu, X., Gahm, J., Pan, R., Hu, H., Begen, A. C., & Oran, D. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.140405 · Cited by 613 · see citing works
Algorithms for reinforcement learning
Szepesvári, C. (2010) · Synthesis lectures on artificial intelligence and machine learning · doi:10.1007/978-3-031-01551-9 · Cited by 308 · see citing works
Egilmez, H. E., Dane, S. T., Bagci, K. T., & Tekalp, A. M. (2012) · Cited by 253 · 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
Video streaming using a location-based bandwidth-lookup service for bitrate planning
Riiser, H., Endestad, T., Vigmostad, P., Griwodz, C., & Halvorsen, P. (2012) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/2240136.2240137 · Cited by 134 · see citing works
Subjective impression of variations in layer encoded videos
Zink, M., Künzel, O., Schmitt, J. B., & Steinmetz, R. (2003) · doi:10.5555/1784037.1784048 · Cited by 128 · see citing works
Distributed QoS Architectures for Multimedia Streaming Over Software Defined Networks
Egilmez, H. E., & Tekalp, A. M. (2014) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2014.2325791 · Cited by 108 · see citing works
Scalable video streaming over OpenFlow networks: An optimization framework for QoS routing
Egilmez, H. E., Görkemli, B., Tekalp, A. M., & Civanlar, S. (2011) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2011.6116083 · Cited by 89 · see citing works
Seddiki, M. S., Shahbaz, M., Donovan, S. P., Grover, S., Park, M., Feamster, N., & Song, Y. (2014) · ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN) · doi:10.1145/2620728.2620766 · Cited by 86 · see citing works
A QoS-enabled OpenFlow environment for Scalable Video streaming
Civanlar, S., Parlakisik, M., Tekalp, A. M., Görkemli, B., Kaytaz, B., & Onem, E. (2010) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/glocomw.2010.5700340 · Cited by 74 · see citing works
Kassler, A., Skorin‐Kapov, L., Dobrijević, O., Matijašević, M., & Dely, P. (2012) · Cited by 49 · see citing works
Optimizing scalable video delivery through OpenFlow layer-based routing
Laga, S., Cleemput, T. V., Raemdonck, F. V., Vanhoutte, F., Bouten, N., Claeys, M., & Turck, F. D. (2014) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2014.6838378 · Cited by 48 · see citing works
Georgopoulos, P., Broadbent, M. T. M., Plattner, B., & Race, N. (2014) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn.2014.6911775 · Cited by 39 · see citing works
SDN for segment based flow routing of DASH
Cetinkaya, C., Karayer, E., Sayit, M., & Hellge, C. (2014) · 2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin) · doi:10.1109/icce-berlin.2014.7034284 · Cited by 30 · see citing works
Self-citationEnabling IPTV Service Assurance Using OpenFlow
McDonagh, P., Olariu, C., Hava, A., & Thorpe, C. (2013) · International Conference on Advanced Information Networking and Applications Workshops (WAINA) · doi:10.1109/waina.2013.91 · Cited by 15 · see citing works
Proceedings 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
(2023) · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin) · doi:10.1109/icce-berlin58801.2023.10375614 · Cited by 11 · see citing works
Flagged first, then by citations
1 of the 27 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2958784 · Cited by 239 · see citing works
Artificial intelligence enabled software‐defined networking: a comprehensive overview
Latah, M., & Toker, L. (2018) · IET Networks · doi:10.1049/iet-net.2018.5082 · Cited by 162 · see citing works
Optimizing the Lifetime of Software Defined Wireless Sensor Network via Reinforcement Learning
Younus, M. U., Khan, M. K., Anjum, M. R., Afridi, S., Arain, Z. A., & Jamali, A. A. (2020) · IEEE Access · doi:10.1109/access.2020.3046693 · Cited by 45 · see citing works
Al-Jawad, A., Comşa, I.-S., Shah, P., Gemikonakli, O., & Trestian, R. (2021) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2021.3099728 · Cited by 45 · see citing works
A Review on Software Defined Content Delivery Network: A Novel Combination of CDN and SDN
Yang, H., Pan, H., & Ma, L. (2023) · IEEE Access · doi:10.1109/access.2023.3267737 · Cited by 37 · see citing works
Ahmed, A. A., Malebary, S. J., Ali, W., & Barukab, O. (2023) · Mathematics · doi:10.3390/math11030700 · Cited by 36 · see citing works
Moussa, N., Nurellari, E., Azbeg, K., Boulouz, A., Afdel, K., Koutti, L., Salah, M. B., & Alaoui, A. E. B. E. (2023) · Future Generation Computer Systems · doi:10.1016/j.future.2023.08.006 · Cited by 33 · see citing works
Q-FDBA: improving QoE fairness for video streaming
Jiang, J., Hu, L., Hao, P., Sun, R., Hu, J., & Li, H. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4917-1 · Cited by 31 · see citing works
Jameel, M. A., Kanakis, T., Turner, S., Al-Sherbaz, A., & Bhaya, W. S. (2022) · Electronics · doi:10.3390/electronics11152441 · Cited by 29 · see citing works
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
Liu, Y., Ding, J., Zhang, Z.-L., & Liu, X. (2021) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata52589.2021.9671840 · Cited by 29 · see citing works
A machine learning-based framework for preventing video freezes in HTTP adaptive streaming
Petrangeli, S., Wu, T., Wauters, T., Huysegems, R., Bostoen, T., & Turck, F. D. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.07.009 · Cited by 27 · see citing works
LearnQoS: A Learning Approach for Optimizing QoS Over Multimedia-Based SDNs
Al-Jawad, A., Shah, P., Gemikonakli, O., & Trestian, R. (2018) · IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) · doi:10.1109/bmsb.2018.8436781 · Cited by 26 · see citing works
Scalable QoE-aware Path Selection in SDN-based Mobile Networks
Filho, R. I. T. D. C., Lautenschlager, W., Kagami, N. S., Luizelli, M. C., Roesler, V., & Gaspary, L. P. (2018) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2018.8486427 · Cited by 21 · see citing works
S2VC: An SDN-based framework for maximizing QoE in SVC-based HTTP adaptive streaming
Tashtarian, F., Erfanian, A., & Varasteh, A. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.09.007 · Cited by 20 · see citing works
On Artificial Intelligent Malware Tolerant Networking for IoT
Zolotukhin, M., & Hämäläinen, T. (2018) · IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) · doi:10.1109/nfv-sdn.2018.8725767 · Cited by 17 · see citing works
ELBA: Efficient Layer Based Routing Algorithm in SDN
Gangwal, A., Gupta, M., Gaur, M. S., Laxmi, V., & Conti, M. (2016) · 2016 25th International Conference on Computer Communication and Networks (ICCCN) · doi:10.1109/icccn.2016.7568515 · Cited by 16 · see citing works
SDN Assisted Codec, Path and Quality Selection for HTTP Adaptive Streaming
Kalan, R. S., & Sayit, M. F. (2021) · IEEE Access · doi:10.1109/access.2021.3114299 · Cited by 13 · see citing works
Self-citationREDO: A Reinforcement Learning-based Dynamic Routing Algorithm Selection Method for SDN
Al-Jawad, A., Comşa, I.-S., Shah, P., Gemikonakli, O., & Trestian, R. (2021) · IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) · doi:10.1109/nfv-sdn53031.2021.9665140 · Cited by 11 · see citing works
Parameshachari, B. D., Gurumoorthy, S., Frnda, J., Nelson, S. C., & Balmuri, K. R. (2021) · Soft Computing · doi:10.1007/s00500-021-06531-5 · Cited by 10 · see citing works
RetractedThe Future of Media Streaming Systems: Transferring Video over New IP
Clayman, S., Tüker, M., Arasan, H., & Sayit, M. F. (2021) · IEEE International Conference on High Performance Switching and Routing (HPSR) · doi:10.1109/hpsr52026.2021.9481835 · Cited by 9 · see citing works
Self-citationDesign of a layer-based video streaming system over software-defined networks
Kalan, R. S., Çetinkaya, C., & Sayit, M. F. (2017) · International Conference on the Network of the Future (NOF) · doi:10.1109/nof.2017.8251213 · Cited by 8 · see citing works
Self-citationDASH-QoS: A scalable network layer service differentiation architecture for DASH over SDN
Sayit, M. F., Çetinkaya, C., Yıldız, H. U., & Tavlı, B. (2019) · Computer Networks · doi:10.1016/j.comnet.2019.02.015 · Cited by 8 · see citing works
Self-citationSoftware‐defined content delivery network at the edge for adaptive video streaming
Kumar, A., Banerjea, S., Jain, R., & Pandey, M. (2022) · International Journal of Network Management · doi:10.1002/nem.2210 · Cited by 5 · see citing works
Real-Time Flow Identification Based on Neural Network and OpenFlow Over SDN
Xie, X., & Wu, J. (2018) · International Conference on Intelligent Human-Machine Systems and Cybernetics · doi:10.1109/ihmsc.2018.10109 · Cited by 4 · see citing works
IMPROVED SOFTWARE DEFINED NETWORK ROUTING FOR TELECOMMUNICATION NETWORKS
Suma, V. (2019) · Journal of Ubiquitous Computing and Communication Technologies · doi:10.36548/jucct.2019.1.001 · Cited by 4 · see citing works
Gohar, A., & Lee, S. (2020) · Applied Sciences · doi:10.3390/app10217691 · Cited by 4 · see citing works
Software-Defined Networking Application with Deep Deterministic Policy Gradient
Witanto, J. N., & Lim, H. (2019) · doi:10.1145/3307363.3307404 · Cited by 4 · see citing works
Segment‐aware dynamic routing for DASH flows over software‐defined networks
Çetinkaya, C., Herguner, K., Hellge, C., & Sayit, M. F. (2020) · International Journal of Network Management · doi:10.1002/nem.2102 · Cited by 4 · see citing works
Self-citationAn Intelligent Routing Approach for Multimedia Traffic Transmission Over SDN
Jameel, M. A., Kanakis, T., Turner, S., Al-Sherbaz, A., Bhaya, W. S., & Al-Khafajiy, M. (2023) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese58274.2023.10100250 · Cited by 3 · see citing works
Server selection for video streaming applications over Software Defined Networks
Kaysudu, E., Çetinkaya, C., Herguner, K., & Sayit, M. F. (2016) · Signal Processing and Communications Applications Conference (SIU) · doi:10.1109/siu.2016.7496152 · Cited by 2 · see citing works
Self-citationDynamic Routing and Bandwidth Provision Based on Reinforcement Learning in SDN Networks
Lu, Y.-H., & Leu, F. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-44041-1_1 · Cited by 2 · see citing works
Htut, A. M., Ochiai, H., & Aswakul, C. (2025) · IEEE Access · doi:10.1109/access.2025.3593616 · Cited by 1 · see citing works
DASH sobre OpenFlow: estimando métricas de QoS a partir da rede
Lacerda, M. (2020) · doi:10.14393/ufu.di.2020.305 · Cited by 1 · see citing works
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network SlicingPreprint
Liu, Y., Ding, J., Zhang, Z.-L., & Liu, X. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.08397 · Cited by 1 · see citing works
Efficient Video Delivery by Leveraging Playback Buffers over Software Defined Networking
Ahn, J., Raza, S. M., Yeoum, S., & Choo, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-95168-3_36
Study and Analysis of Real-Time Video Streaming Over SDN
Surasura, P., Hiremath, S., Sajjan, S., & Kamatar, V. S. (2023) · IEEE Global Conference for Advancement in Technology (GCAT) · doi:10.1109/gcat59970.2023.10353549
Exploring the Synergy: A Review of Machine Learning Techniques in Software Defined Networking (SDN)
Muheden, K., Othman, R. N., Hawezi, R. S., Abdalwahid, S. M. J., Mustafa, O. S., & Kareem, S. W. (2024) · ITM Web of Conferences · doi:10.1051/itmconf/20246401016
- Authors
- Uzakgider, T., Cetinkaya, C., & Sayit, M.
- Affiliations
- Ege University (TR)
- Corresponding author
- Sayit, Muge
- ORCID
- Sayit, Muge
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 92
- Pages
- 357-368
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W1961100276
- Cited by
- 37
- References
- 27
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 5 · 2022: 2 · 2021: 7 · 2020: 5 · 2019: 4 · 2018: 7 · 2017: 3 · 2016: 2
- FWCI
- 4.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Networks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Keywords
- software-defined networking, adaptive video streaming, layered video streaming, learning-based routing, bitrate adaptation, packet loss rate, quality of experience, network cost
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.
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
