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The Scientific World Journal
Volume 2014 (2014), Article ID 101702, 9 pages
http://dx.doi.org/10.1155/2014/101702
Research Article

Measurement and Analysis of P2P IPTV Program Resource

1Network and Trusted Computing Institute, College of Computer Science, Sichuan University, Chengdu 610065, China
2Mathematical College, Sichuan University, Chengdu 610064, China

Received 29 August 2013; Accepted 10 March 2014; Published 19 March 2014

Academic Editors: J. Shu and F. Yu

Copyright © 2014 Wenxian Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

With the rapid development of P2P technology, P2P IPTV applications have received more and more attention. And program resource distribution is very important to P2P IPTV applications. In order to collect IPTV program resources, a distributed multi-protocol crawler is proposed. And the crawler has collected more than 13 million pieces of information of IPTV programs from 2009 to 2012. In addition, the distribution of IPTV programs is independent and incompact, resulting in chaos of program names, which obstructs searching and organizing programs. Thus, we focus on characteristic analysis of program resources, including the distributions of length of program names, the entropy of the character types, and hierarchy depth of programs. These analyses reveal the disorderly naming conventions of P2P IPTV programs. The analysis results can help to purify and extract useful information from chaotic names for better retrieval and accelerate automatic sorting of program and establishment of IPTV repository. In order to represent popularity of programs and to predict user behavior and popularity of hot programs over a period, we also put forward an analytical model of hot programs.