Journal of University of Science and Technology of China ›› 2010, Vol. 40 ›› Issue (10): 1087-1095.DOI: 10.3969/j.issn.0253-2778.2010.10.014

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Replication strategy based on incentive mechanism in peer-to-peer networks

GUO Liangmin   

  1. 1.School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China; 2.Department of Computer Science and Technology, Anhui Normal University, Wuhu 241003, China
  • Received:2009-09-09 Revised:2010-05-14 Online:2010-10-31 Published:2010-10-31

Abstract: To encourage peers in P2P network to provide their storage space saving replications and strengthen cooperation between them, the replication strategy based on incentive mechanism was put forward using information economics about principal-agent relationship and the incentive concept for reference. The experimental results show that the proposed replication strategy can weaken the negative effect brought about by noncooperation between peers as far as possible to create replications successfully, and indeed improve search performance of P2P networks to a certain extent. Compared with classical replication strategies, the new method can reduce search response time, promote search success ratio and balance peers load.

Key words: replication, incentive mechanism, principal-peer, agent-peer, P2P network