• DocumentCode
    1941882
  • Title

    An Agent Based Peer-to-Peer Network with Thesaurus Based Searching, and Load Balancing

  • Author

    Thampi, Sabu M. ; Chandrasekaran, K.

  • Author_Institution
    Dept. of CSE, L.B.S Coll. of Eng., Kerala
  • Volume
    1
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    992
  • Lastpage
    997
  • Abstract
    This paper describes a search mechanism for files in an unstructured peer-to-peer network. Most of the existing P2P architectures cannot autonomously locate services on the P2P network. Peers can hardly work and cooperate as a team. Using well-designed agents can improve the efficiency of the operations and data communication in the P2P applications. In the proposed system, agents are residing on peers and almost take care of every thing. They receive a problem from the user or other agents, send each job to the responsible agents and merge the sub-solution gathered from them to present a final solution. The communication among nodes takes place through mobile agents. The key features include content matching, parallel downloads, agent based load balancing and thesaurus based searching
  • Keywords
    information retrieval; mobile agents; peer-to-peer computing; resource allocation; thesauri; P2P architecture; agent based load balancing; agent based peer-to-peer network; content matching; data communication; mobile agent; parallel downloads; thesaurus based searching; Application software; Data communication; Educational institutions; Internet; Java; Load management; Mobile agents; Mobile communication; Peer to peer computing; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631393
  • Filename
    1631393