Optimizing Quality-of-Experience for HTTP-based Adaptive Video Streaming: An SDN-based Approach
Abstract
In this work, the authors present a novel bandwidth management solution for optimizing overall quality of experience (QoE) of multiple video streaming sessions. Instead of allocating bandwidth equally among competing flows, they propose to tailor the bandwidth allocation to both content complexity of requested video and playout buffer status of individual clients. The authors formulate the multi-client bandwidth allocation problem within the convex optimization framework, which is flexible enough to accommodate a wide variety of video quality metrics. Further, the authors present a practical architecture based on software defined networking (SDN) with two components: video quality monitoring and video quality optimization. Testbed-based experiments confirm that with quality-optimized allocation the network can support up to 75% more users at the same level of quality-of-experience (QoE) than conventional equal-rate allocations.
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In 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].”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [105]
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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
- Authors
- Ramakrishnan, S., Zhu, X., Chan, F., Kambhatla, K. K. R., Lu, Z., Chan, C., & Krishnamurthy, B.
- Affiliations
- Cisco Systems (United States) (US)
- Venue
- International Journal of Multimedia Data Engineering and Management
- Publisher
- IGI Global Scientific Publishing
- Published
- 2016-10-01
- Volume
- 7
- Issue
- 4
- Pages
- 22-44
- ISSN
- 1947-8534 (ISSN-L)
- 1947-8542
- OpenAlex
- W2542002904
- Cited by
- 4
- References
- 21
- Citations by year
- 2022: 1 · 2019: 1 · 2017: 2
- FWCI
- 0.94
- Type
- journal article
- Language
- ng
- Open access
- closed
- Locations
- International Journal of Multimedia Data Engineering and Management (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- adaptive video streaming, quality of experience, bandwidth allocation, HTTP streaming, playout buffer, content complexity, video quality monitoring, software-defined networking, convex optimization
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