FISH: a novel peer-to-peer overlay network based on

  • Authors:
  • Ye Yuan;Guoren Wang;Yongjiao Sun

  • Affiliations:
  • College of Information Science and Engineering, Northeastern University, Shenyang, China and Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education;College of Information Science and Engineering, Northeastern University, Shenyang, China and Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education;College of Information Science and Engineering, Northeastern University, Shenyang, China and Key Laboratory of Medical Image Computing, Northeastern University, Ministry of Education

  • Venue:
  • WAIM'10 Proceedings of the 11th international conference on Web-age information management
  • Year:
  • 2010

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Abstract

Autonomy, efficiency, robustness and load balancing are four desirable features for Peer-to-Peer (P2P) systems. These four features however, are often in conflict with each other. We present a novel P2P architecture, called FISH, based on the Hyper-deBruijn topology. FISH provides flexibility in terms of connections per node and the level of fault-tolerance, and possesses a low diameter. We further address the challenge of dynamic operations of peers by introducing a novel set of algorithms. We also design two variants of Hyper-deBruijn topology for achieving an asymptotical optimal diameter. Comprehensive experiments show that FISH has a good trade-off among the four expected features.