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.

Highlights

  • Peer-to-Peer (P2P) applications take advantage of resources such as storage, CPU cycles, content, or human presence available at the edge of the Internet to provide a service [1]

  • A typical P2P Internet Protocol Television (IPTV) application is comprised of five components: media collection server (MCS), media distribution server (MDS), program-list server (PLS), tracker server (TS, called peer-list server), and end system (ES, called client or peer)

  • DMPCrawler is deployed on three PC Servers with Intel E5506 CPU and 4 GB Memory in Beijing of China with 10 Mbps Ethernet network access

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Summary

Introduction

Peer-to-Peer (P2P) applications take advantage of resources such as storage, CPU cycles, content, or human presence available at the edge of the Internet to provide a service [1]. With the development and maturity of P2P technology, P2P applications become more and more popular in the recent ten years, including file-sharing applications, audio-based VOIP applications, and video-based IPTV applications [2,3,4,5]. They occupy a significant proportion of Internet traffic. P2P IPTV applications, such as PPTV (former PPLive) [2], QQLive [4] in China, become popular gradually and occupy a great amount of P2P traffic [7].

Overview of P2P IPTV
Related Work
Methodology of Measurement and Characteristic Analysis
Analytical Model of Hot Programs
Results and Discussion
Characteristic Analysis of Program Resource
Hierarchy Depth of Program
Conclusions
Full Text
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