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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 5 | Page No.: 700-707
DOI: 10.3923/jas.2013.700.707
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An Optimization Model for the Interconnection among Peers of the P2P Network

Huang Yongsheng, Tian Xiaoyu and Tang Zhongbin

In peer to peer (P2P) network with large number of peers, better service performances usually mean more network resources. Optimizing interconnection scheme among the peers is a solution to enhance efficiency of the file searching and achieving with reduced scale of interconnections. In this study, by proper formatting the interconnection relation and information about file replica searching, the Particle Swarm Optimization (PSO) algorithm is employed to optimize the interconnection among the active peers. As the variation of the active peers and the file replicas distribution in the P2P network, the optimization procedure is time consuming. In order to shorten the iteration procedure, the competitive neural network algorithm is selected to involve the optimization. Simulative experimental results indicate the proposed model can achieve enhanced and stable optimization efficiency and effectiveness. Meanwhile, the network loading will be decreased as the scale of interconnections among peers is reduced.
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How to cite this article:

Huang Yongsheng, Tian Xiaoyu and Tang Zhongbin, 2013. An Optimization Model for the Interconnection among Peers of the P2P Network. Journal of Applied Sciences, 13: 700-707.

DOI: 10.3923/jas.2013.700.707






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