Content delivery network slicing: QoE and cost awareness
Open accessAbstract
Content Delivery Networks (CDNs) emerged to manage the great amount of content, as well as the transmissions over long distances. In recent years, this concept proves to be a promising solution for emergent enterprises. In this paper, we present a Content Delivery Network as a Service (CDNaaS) platform which can create virtual machines (VMs) through a network of data centers and provide a customized slice of CDN to users. CDNaaS manages a great number of videos by means of caches, transcoders, and streamers hosted in different VMs. However, an optimal placement of VMs with adequate flavors for the different images is required to obtain an efficient slice of CDN. In this work, we argue the need to find a convenient slice for the CDN owner while respecting his performance requirements and minimizing as much as possible the incurred cost. We first formulate the VMs placement problem as two Linear Integer problem solutions, aiming at minimizing the cost and maximizing the quality of experience of streaming. Then, extensive simulation results are presented to illustrate the effectiveness of the proposed models.
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Network 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].”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [124]
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Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., & Sabella, D. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2705720 · Cited by 1,775 · see citing works
Self-citationNetwork 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
Self-citationQoE 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
- Authors
- Retal, S., Bagaa, M., Taleb, T., & Flinck, H.
- Affiliations
- Mohammed V University (MA)
- Aalto University (FI)
- Nokia (Finland) (FI)
- Venue
- 2017 IEEE International Conference on Communications (ICC)
- Publisher
- IEEE
- Published
- 2017-05
- Pages
- 1-6
- ISSN
- 1550-3607 (ISSN-L)
- OpenAlex
- W2740796766
- Cited by
- 49
- References
- 0
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 5 · 2021: 7 · 2020: 8 · 2019: 8 · 2018: 13 · 2017: 6
- FWCI
- 7.63
- Type
- conference paper
- Language
- en
- Open access
- green
- research.aalto.fi
- Licence
- other-oa
- Locations
- International Conference on Communications (publishedVersion)
- Aaltodoc (Aalto University) (submittedVersion, other-oa)
- Funders
- European Commission
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- content delivery networks, network slicing, virtual machine placement, quality of experience, cost minimization, integer linear programming, video streaming, transcoder, data centers
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