The Journal of Supercomputing

, Volume 44, Issue 3, pp 217–236

Managing peer-to-peer networks with human tactics in social interactions

Authors

    • Surrey Space CentreUniversity of Surrey
    • School of ComputingUniversity of Leeds
  • Nick Antonopoulos
    • Department of ComputingUniversity of Surrey
  • Stephen Mackin
    • Surrey Satellite Technology LimitedSurrey Research Park
Article

DOI: 10.1007/s11227-007-0156-y

Cite this article as:
Liu, L., Antonopoulos, N. & Mackin, S. J Supercomput (2008) 44: 217. doi:10.1007/s11227-007-0156-y

Abstract

Small-world phenomena have been observed in existing peer-to-peer (P2P) networks which has proved useful in the design of P2P file-sharing systems. Most studies of constructing small world behaviours on P2P are based on the concept of clustering peer nodes into groups, communities or clusters. However, managing additional multilayer topology increases maintenance overhead, especially in highly dynamic environments. In this paper, we present Social-like P2P systems (Social-P2Ps) for object discovery by self-managing P2P topology with human tactics in social networks. In Social-P2Ps, queries are routed intelligently even with limited cached knowledge and node connections. Unlike community-based P2P file-sharing systems, we do not intend to create and maintain peer groups or communities consciously. In contrast, each node connects to other peer nodes with the same interests spontaneously by the result of daily searches.

Keywords

Peer-to-peerSocial interactionsSmall worldPerformance evaluationsSimulations
Download to read the full article text

Copyright information

© Springer Science+Business Media, LLC 2007