• DocumentCode
    477796
  • Title

    A New Efficient Hierarchical Distributed P2P Clustering Algorithm

  • Author

    Guo, Kai ; Liu, Zhijng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xian
  • Volume
    2
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    352
  • Lastpage
    355
  • Abstract
    A new hierarchical distributed P2P architecture and clustering algorithm (HDP2PA) is proposed in this paper. HP2PA can address the problems of large central storage requirement in centralized data mining and heavy traffic in traditional distributed P2P network. The architecture is a multi-layer overlay network of peer units based on Super-P2P model. Clustering process is divided into two phases consisted of local clustering and global combination. Using the hierarchical architecture, the partial results produced by local clustering are aggregated to a global one. Experiments prove the method is effective.
  • Keywords
    data mining; peer-to-peer computing; centralized data mining; clustering algorithm; global combination; hierarchical distributed P2P architecture; large central storage requirement; local clustering; multilayer overlay network; Clustering algorithms; Computer architecture; Computer science; Costs; Data mining; Fuzzy systems; Monitoring; Network servers; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.280
  • Filename
    4666137