Online Server-side Optimization Approach for Improving QoE of DASH Clients

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Abstract

The many advantages of Dynamic Adaptive streaming over HTTP (DASH) made it one of the most prevalent video streaming technologies in recent years. Unfortunately, many studies have unveiled the QoE issue of users when multiple DASH clients compete for the bandwidth of a bottleneck link. This issue consists of several aspects, namely the frequent encoding changes, the unfair bandwidth allocation, the inefficient bandwidth utilization, and the relatively long convergence time. These aspects are indeed conflicting each other and resolving them entails tradeoffs. In this paper, we propose a new mathematical model that leverages a score matrix to ensure a fair sharing of the server's bottleneck link between competing clients and satisfies the requests of as many clients as possible and that is for efficient bandwidth utilization. The proposed solution is compared against notable solutions through computer-based simulations, and the results show that the proposed solution achieves high scores in terms of both efficiency and fairness.
Original languageEnglish
Title of host publication2017 IEEE Global Communications Conference, GLOBECOM 2017
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5090-5019-2
DOIs
Publication statusPublished - Dec 2017
MoE publication typeA4 Article in a conference publication
EventIEEE Global Communications Conference - Singapore, Singapore
Duration: 4 Dec 20178 Dec 2017

Publication series

NameIEEE Global Communications Conference
PublisherIEEE
ISSN (Print)2334-0983

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
CountrySingapore
CitySingapore
Period04/12/201708/12/2017

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  • Cite this

    El Marai, O., & Taleb, T. (2017). Online Server-side Optimization Approach for Improving QoE of DASH Clients. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 (IEEE Global Communications Conference). IEEE. https://doi.org/10.1109/GLOCOM.2017.8254128