Ensuring High QoE for DASH-based Clients using Deterministic Network Calculus in SDN Networks

Oussama El Marai, Johnny Prados Garzon, Miloud Bagaa, Tarik Taleb

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

HTTP Adaptive Streaming (HAS) is becoming the de-facto video delivery technology over best- effort networks nowadays, thanks to the myriad advantages it brings. However, many studies have shown that HAS suffers from many Quality of Experience (QoE)-related issues in the presence of competing players. This is mainly caused by the selfishness of the players resulting from the decentralized intelligence given to the player. Another limitation is the bottleneck link that could happen at any time during the streaming session and anywhere in the network. These issues may result in wobbling bandwidth perception by the players and could lead to missing the deadline for chunk downloads, which result in the most annoying issue consisting of rebuffering events. In this paper, we leverage the Software-Defined Networking paradigm to take advantage of the global view of the network and its powerful intelligence that allows reacting to the network changing conditions. Ultimately, we aim at preventing the re-buffering events, resulting from deadline misses, and ensuring high QoE for the accepted clients in the system. To this end, we use Deterministic Network Calculus (DNC) to guarantee a maximum delay for the download of the video chunks while maximizing the perceived video quality. Simulation results show that the proposed solution ensures high efficiency for the accepted clients without any rebuffering events which result in high user QoE. Consequently, it might be highly useful for scenarios where video chunks should be strictly downloaded on- time or ensuring low delay with high user QoE such as serving video premium subscribers or remote control/driving of an autonomous vehicle in future 5G mobile networks. © 2019 IEEE.
Original languageEnglish
Title of host publicationIEEE Global Communications Conference
PublisherIEEE
ISBN (Electronic)9781728109626
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventIEEE Global Communications Conference - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Publication series

NameIEEE Global Communications Conference
ISSN (Print)2334-0983

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritoryUnited States
CityWaikoloa
Period09/12/201913/12/2019

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