• DocumentCode
    2926353
  • Title

    A social network Peer-to-Peer model for peer clustering

  • Author

    Modarresi, Amir ; Mamat, Ali ; Ibrahim, Hamidah ; Mustapha, Norwati

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang
  • Volume
    3
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Peer clustering is a way for managing the structure of Peer-to-Peer (P2P) networks. It can be done on physical structure of the network like physical proximity of peers or semantic relationship among them. Our proposed model uses social network concepts as the main physical structure for clustering peers. Nodes in the model are grouped into several communities and sub communities with similar interests. The order and relation among communities are defined and controlled by a shared ontology. This structure provides lower distance and better locality in search. A simulation of the model shows lower path and better clustering than a random network.
  • Keywords
    graph theory; network theory (graphs); ontologies (artificial intelligence); pattern clustering; peer-to-peer computing; search problems; graph theory; peer clustering; search problem; semantic relationship; shared ontology; social network peer-to-peer network management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, 2008. ITSim 2008. International Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-2327-9
  • Electronic_ISBN
    978-1-4244-2328-6
  • Type

    conf

  • DOI
    10.1109/ITSIM.2008.4631989
  • Filename
    4631989