Title: Resource-awareness and trade-off optimisation in P2P video streaming

Authors: Majed Alhaisoni, Antonio Liotta, Mohammed Ghanbari

Addresses: School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK. ' Department of Electrical Engineering, Eindhoven University of Technology, P.O. Box 513, PT 11.29, 5600 MB Eindhoven, The Netherlands. ' School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK

Abstract: Recently, various P2P platforms have become widely popular tools for delivering both real-time and on-demand video services over the internet. However, these P2P TV approaches do experience some limitations, which adversely affect their performance. For instance, most P2P applications are designed to balance CPU load and memory but not network resources or vice versa. Through an experimental-based study and simulation, this paper unveils strengths and shortcomings of these tools and suggests methods for improving the P2P IPTV performance. The findings are based on the analysis of traffic traces from P2P streaming applications such as Zattoo, Joost, Sopcast and Babelgum and the simulation of the proposed approach.

Keywords: P2P TV; network efficiency; computational efficiency; resource awareness; trade-off optimisation; simulation peer-to-peer; P2P streaming; video streaming; video on demand.

DOI: 10.1504/IJAMC.2010.030006

International Journal of Advanced Media and Communication, 2010 Vol.4 No.1, pp.59 - 77

Available online: 03 Dec 2009 *

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