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

PDF (iwqos)
iwqos.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (255kB)


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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:
Deposited By:
Deposited On:
28 Jan 2016 14:28
Last Modified:
18 Oct 2021 00:24