• DocumentCode
    2439464
  • Title

    Agent-Based Intelligent Resource Discovery Scheme in P2P Networks

  • Author

    Tan, Yunsong ; Han, Jianjun ; Lu, Yansheng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    2
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    752
  • Lastpage
    756
  • Abstract
    A peer-to-peer (P2P) system consists of a number of decentralized distributed network nodes that are capable of sharing resources without centralized supervision. One of the most important functions in P2P system is locating resources. Dynamic joins and leaves of the node and heterogeneous network structure in P2P system make it a difficult problem to discover shared resource. In this paper, we propose a intelligent resource discovery mechanism based on the mobile agent technology. Agents maintain local resource information and mobile agents migrate on network to discover shared resource. The mobile agents adaptively learn paths within the P2P networks to enable rapid location of resources. Preliminary results of our algorithm demonstrate that resource can be quickly acquired and network traffic can be reduced greatly, scalability and robustness can also be improved based on the mobile agent technology.
  • Keywords
    mobile agents; peer-to-peer computing; resource allocation; P2P network; agent-based intelligent resource discovery scheme; decentralized distributed network node; heterogeneous network structure; mobile agent; peer-to-peer system; resource sharing; Competitive intelligence; Computational intelligence; Computer networks; Distributed computing; Information retrieval; Intelligent agent; Intelligent networks; Mobile agents; Peer to peer computing; Telecommunication traffic; Agent; P2P Networks; Resource Discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.364
  • Filename
    4756877