• DocumentCode
    501820
  • Title

    A P2P Network Topology Optimized Algorithm Based on Minimum Maximum K-Means Principle

  • Author

    Ma, Yi ; Tan, Zhenhua ; Chang, Guiran ; Gao, Xiaoxing

  • Author_Institution
    Software Coll., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    396
  • Lastpage
    399
  • Abstract
    The most popular routing algorithm in p2p network is that every node keeps a route table which records a certain number of other nodes. Such algorithm selects neighbor nodes at random, and this reduces routing efficiency. In this paper a new algorithm of optimizing p2p overlay network topology is proposed, which is based on minimum maximum k-means principle. According to the communication history, the division presents a steady network topology with k clusters and k cluster center nodes. This optimized p2p network topology presents a high performance of routing efficiency. The minimum maximum principle makes the division more appropriate, so that there will be less probability of being unsteady for the p2p network. The conclusions show that this algorithm is an efficient p2p network topology optimized algorithm.
  • Keywords
    optimisation; peer-to-peer computing; telecommunication network routing; telecommunication network topology; P2P network topology optimized algorithm; minimum maximum K-means principle; peer-peer network; probability; routing algorithm; steady network topology; Bandwidth; Cities and towns; Clustering algorithms; Computer networks; Educational institutions; History; Hybrid intelligent systems; Network topology; Routing; Software algorithms; k-means; minimum maximum principle; overlay network topology; p2p;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.193
  • Filename
    5254491