User-level fairness delivered:network resource allocation for adaptive video streaming

Mu, Mu and Farshad, Arsham and Simpson, Steven and Ni, Qiang and Race, Nicholas John Paul (2015) User-level fairness delivered:network resource allocation for adaptive video streaming. In: 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE, pp. 85-94. ISBN 97814671131

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Abstract

HTTP adaptive streaming (HAS) technology is becoming a popular vehicle for online video delivery. HAS applications often compete for network resources without any coordination between each other in a shared network. This leads to QoE fluctuations and unfairness between end users. This paper introduces UF model which exploits video quality, switching impact and cost efficiency as the fairness metrics to achieve user-level fairness in resource allocation. Experimental results demonstrate how UF model is a foundation to orchestrate the resource consumption of HAS streams.

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Contribution in Book/Report/Proceedings
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ID Code:
78039
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Deposited On:
28 Jan 2016 14:28
Refereed?:
Yes
Published?:
Published
Last Modified:
05 Apr 2020 00:42