• DocumentCode
    2977332
  • Title

    Self-Organized Routing for Unstructured Peer-to-Peer Networks

  • Author

    Armetta, Frédéric ; Haddad, Mohammed ; Hassas, Salima ; Kheddouci, Hamamache

  • Author_Institution
    Dept. d´´Inf., Univ. de Lyon, Villeurbanne, France
  • fYear
    2010
  • fDate
    Sept. 27 2010-Oct. 1 2010
  • Firstpage
    273
  • Lastpage
    274
  • Abstract
    Overlay topologies are often used in unstructured peer-to-peer networks in order to improve the global performance. Various research works dealing with communication issues of dynamic networks gave much interest to overlay topologies to get a better network organization. In fact, the use of such structures aim to decrease the impact of network dynamics while improving its scalability. Moreover, overlays offer a better management of data flows over the network. Recently, some overlays offering scale-free and/or small-world properties have been proposed. However, most of these works focus on structural aspects and do not give much importance the data carried by peers. In this paper, we show the complementarity of self-organization in overlay topologies and self-organizing search algorithms. We improve an existing approach of scale-free overlay topology by introducing mechanisms to take into account the utility of the information on peers and by a novel ant inspired approach based on foraging. We show how the combination of structural and semantic topological aspects with an ant inspired search algorithm is well adapted especially for rare information in the peer-to-peer network.
  • Keywords
    peer-to-peer computing; search problems; telecommunication network routing; telecommunication network topology; ant inspired search algorithm; data flow management; overlay network topology; self-organized routing; unstructured peer-to-peer networks; Kernel; Network topology; Peer to peer computing; Routing; Search methods; Semantics; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4244-8537-6
  • Electronic_ISBN
    978-0-7695-4232-4
  • Type

    conf

  • DOI
    10.1109/SASO.2010.29
  • Filename
    5629735