Earticle

초록

영어

With the rapid development of P2P technology, P2P IPTV applications have received more and more attention. And program-list distribution is very important to P2P IPTV applications. In order to collect IPTV program information, a distributed multi-protocol crawler was proposed based on principle of program-list distribution. The IPTV programs information will be used for characteristic analyses of program and for automatic sorting of program and establishment of IPTV repository in next work. In addition, a task scheduling model based on fuzzy control is introduced to improve performance of the crawler. In the experiment, three task scheduling algorithms are compared, and the results show that the fuzzy algorithm can balance service nodes’ load effectively with less task execution time.

목차

Abstract
 1. Introduction
 2. Crawling Mechanism
  2.1. Principle of Program-list Distribution
  2.2. Architecture of DMP-Crawler
 3. Task Scheduling Model Based on Fuzzy Control
  3.1. Fuzzy Model of Dynamic Performance of Service Nodes
  3.2. Fuzzy Model of Task Request Load
  3.3. Defuzzification
  3.4. Inference Rules
  3.5. Task Scheduling Process of DMP-Crawler
 4. Results and Analysis
  4.1. Load of SNs
  4.2. Execution Time of Tasks
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Wenxian Wang [ Network and Trusted Computing Institute, College of Computer Science, Sichuan University, Chengdu, China ]
• Xingshu Chen [ Network and Trusted Computing Institute, College of Computer Science, Sichuan University, Chengdu, China ]
• Haizhou Wang [ Network and Trusted Computing Institute, College of Computer Science, Sichuan University, Chengdu, China ] Corresponding author
• Yi Duan [ Network and Trusted Computing Institute, College of Computer Science, Sichuan University, Chengdu, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605