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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
Publication date15/06/2015
Host publication2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)
PublisherIEEE
Pages85-94
Number of pages10
ISBN (Print)97814671131
Original languageEnglish

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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©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.