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Quality of Experience in Mobile Peer-to-Peer Streaming Systems

Quality of Experience in Mobile Peer-to-Peer Streaming Systems

Florence Agboma
Copyright: © 2012 |Pages: 46
ISBN13: 9781466616134|ISBN10: 146661613X|EISBN13: 9781466616141
DOI: 10.4018/978-1-4666-1613-4.ch009
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MLA

Agboma, Florence. "Quality of Experience in Mobile Peer-to-Peer Streaming Systems." Streaming Media with Peer-to-Peer Networks: Wireless Perspectives, edited by Martin Fleury and Nadia Qadri, IGI Global, 2012, pp. 196-241. https://doi.org/10.4018/978-1-4666-1613-4.ch009

APA

Agboma, F. (2012). Quality of Experience in Mobile Peer-to-Peer Streaming Systems. In M. Fleury & N. Qadri (Eds.), Streaming Media with Peer-to-Peer Networks: Wireless Perspectives (pp. 196-241). IGI Global. https://doi.org/10.4018/978-1-4666-1613-4.ch009

Chicago

Agboma, Florence. "Quality of Experience in Mobile Peer-to-Peer Streaming Systems." In Streaming Media with Peer-to-Peer Networks: Wireless Perspectives, edited by Martin Fleury and Nadia Qadri, 196-241. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1613-4.ch009

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Abstract

This chapter considers the various parameters that affect the user’s Quality-of-Experience (QoE) in mobile peer-to-peer streaming systems, which are a form of content delivery network. Network and content providers do not necessarily focus on users’ QoE when designing the content delivery strategies and business models. The outcome of this is quite often the over-provisioning of network resources and also a lack of knowledge in respect to the user’s satisfaction. The focus is the methodology for quantifying the user’s perception of service quality for mobile video services and user contexts. The statistical technique of discriminant analysis is employed in defining prediction models to map Quality-of-Service (QoS) parameters onto estimates of the user’s QoE ratings. The chapter considers the relative contribution of the QoS parameters to predicting user responses. The chapter also demonstrates the value of the prediction models in developing QoE management strategies in order to optimize network resource utilization. To investigate the versatility of the framework, a feasibility study was applied to a P2P TV system. P2P systems continue to develop and as such, not a lot is known about their QoE characteristics, which situation this chapter seeks to remedy.

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