A novel traffic rate measurement algorithm for quality of experience-aware video admission control

Qadir, Qahhar Muhammad and Kist, Alexander A. and Zhang, Zhongwei (2015) A novel traffic rate measurement algorithm for quality of experience-aware video admission control. IEEE Transactions on Multimedia, 17 (5). pp. 711-722. ISSN 1520-9210

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Abstract

With the inevitable dominance of video traffic on the Internet, providing perceptually good video quality is becoming a challenging task. This is partly due to the bursty nature of video traffic, changing network conditions and limitations of network transport protocols. This growth of video traffic has made Quality of Experience (QoE) of the end user the focus of the research community. In contrast, Internet service providers are concerned about maximizing revenue by accepting as many sessions as possible, as long as customers remain satisfied. However, there is still no entirely satisfactory admission algorithm for flows with variable rate. The trade-off between the number of sessions and perceived QoE can be optimized by exploiting the bursty nature of video traffic. This paper proposes a novel algorithm to determine the upper limit of the aggregate video rate that can exceed the available bandwidth without degrading the QoE of accepted video sessions. A parameter Beta that defines the exceedable limit is defined. The proposed algorithm results in accepting more sessions without compromising the QoE of on-going video sessions. Thus it contributes to the optimization of the QoE-Session trade-off in support of the expected growth of video traffic on the Internet.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2015 IEEE. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 30 Mar 2015 02:46
Last Modified: 29 Jun 2016 03:12
Uncontrolled Keywords: QoE; MBAC; video; optimization
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
10 Technology > 1005 Communications Technologies > 100504 Data Communications
10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
Identification Number or DOI: 10.1109/TMM.2015.2416637
URI: http://eprints.usq.edu.au/id/eprint/26964

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