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Author:

Mao, Jun-Peng (Mao, Jun-Peng.) | Zhang, Jian-Biao (Zhang, Jian-Biao.) (Scholars:张建标) | Huang, Jian-Hua (Huang, Jian-Hua.) | Wang, Hui (Wang, Hui.)

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EI Scopus PKU CSCD

Abstract:

In order to improving the developing efficiency of P2P application, and reducing the developing costs, presents the concept of P2P Service Middleware, and constructs P2P Intelligent overlay Middleware Model which separates the basic P2P service from the special function of Internet application and encapsulates to independent middleware to support different P2P servers. The model, 1) by utilizing topology detecting technology of physical network based on the application layer, optimizes P2P overlay topology to according with the topology of physical network; 2) gather physical neighboring node of peer to construct a virtual super-peer that service to other nodes as a whole, which weakens the effect of peer churn to system performance; 3) uses link evaluating algorithm to choose the optimal routing path, and to improve the searching and transmitting efficiency of system. Finally, simulating lab and system testing results show that this model improves system performance obviously.

Keyword:

Efficiency Middleware Topology Peer to peer networks

Author Community:

  • [ 1 ] [Mao, Jun-Peng]Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • [ 2 ] [Mao, Jun-Peng]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zhang, Jian-Biao]College of Computer Science, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Huang, Jian-Hua]Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • [ 5 ] [Wang, Hui]PLA 66083 Army, Beijing 102488, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2009

Issue: 9

Volume: 35

Page: 1267-1272

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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