QoE optimization for HTTP adaptive streaming: Performance evaluation of MEC-assisted and client-based methods

Rahman, Waqas ur and Amin, Muhammad Bilal and Hong, Choong Seon and Huh, Eui-nam (2021) QoE optimization for HTTP adaptive streaming: Performance evaluation of MEC-assisted and client-based methods. Journal of Visual Communication and Image Representation, 82. ISSN 1047-3203

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Abstract

Seamless streaming of high quality video under unstable network condition is a big challenge. HTTP adaptive streaming (HAS) provides a solution that adapts the video quality according to the network conditions. Traditionally, HAS algorithm runs at the client side while the clients are unaware of bottlenecks in the radio channel and competing clients. The traditional adaptation strategies do not explicitly coordinate between the clients, servers, and cellular networks. The lack of coordination has been shown to lead to suboptimal user experience. As a response, multi-access edge computing (MEC)-assisted adaptation techniques emerged to take advantage of computing and content storage capabilities in mobile networks. In this study, we investigate the performance of both MEC-assisted and client-side adaptation methods in a multi-client cellular environment. Evaluation and comparison are performed in terms of not only the video rate and dynamics of the playback buffer but also the fairness and bandwidth utilization. We conduct extensive experiments to evaluate the algorithms under varying client, server, dataset, and network settings. Results demonstrate that the MEC-assisted algorithms improve fairness and bandwidth utilization compared to the client-based algorithms for most settings. They also reveal that the buffer-based algorithms achieve significant quality of experience; however, these algorithms perform poorly compared with throughput-based algorithms in protecting the playback buffer under rapidly varying bandwidth fluctuations. In addition, we observe that the preparation of the representation sets affects the performance of the algorithms, as does the playback buffer size and segment duration. Finally, we provide suggestions based on the behaviours of the algorithms in a multi-client environment.

Item Type: Article
Identification Number: https://doi.org/10.1016/j.jvcir.2021.103415
Dates:
DateEvent
4 December 2021Accepted
18 December 2021Published Online
Uncontrolled Keywords: Quality of experience, DASH, fairness, HTTP adaptive streaming, video
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-02 - information technology
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
Depositing User: Waqas Rahman
Date Deposited: 27 Jan 2022 09:34
Last Modified: 27 Jan 2022 09:34
URI: http://www.open-access.bcu.ac.uk/id/eprint/12616

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