• DocumentCode
    3022390
  • Title

    A Category Overlay Infrastructure for Peer-to-Peer Content Search

  • Author

    Liu, Xin ; Wang, Jun ; Vuong, Son T. ; Son T Vuong

  • Author_Institution
    Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    2005
  • fDate
    04-08 April 2005
  • Abstract
    For a Peer-to-Peer (P2P) system which contains huge amount of data, an efficient content search technique is definitely necessary. In this paper, we present a novel category overlay search infrastructure which can sit on top of existing unstructured P2P systems, such as Gnutella. The intuition behind our work is that by clustering the whole peer group into clusters and mapping the predefined category domain to clusters, multiple category overlays can be constructed and a search can be restricted within only some specific overlays, thus the search efficiency can be improved dramatically. Our preliminary simulation shows that this infrastructure can provide efficient search service, even in a highly dynamic network environment.
  • Keywords
    information retrieval; peer-to-peer computing; category overlay search infrastructure; content search technique; peer-to-peer system; Clustering algorithms; Computer science; Costs; Distributed processing; Floods; Keyword search; Maintenance; Network topology; Peer to peer computing; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
  • Print_ISBN
    0-7695-2312-9
  • Type

    conf

  • DOI
    10.1109/IPDPS.2005.3
  • Filename
    1420103