• DocumentCode
    3299831
  • Title

    A scalable P2P model for optimizing application layer multicast

  • Author

    Amad, Mourad ; Meddahi, Ahmed

  • Author_Institution
    Bejaia Univ., Bejaia
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    407
  • Lastpage
    413
  • Abstract
    Multicast avoids sending repeated packets over the same network links and thus offers the promise of supporting multimedia streaming over wide-area networks. Previously, two opposite multicast schemes forward-path forwarding and reverse-path forwarding have been proposed on top of structured peer-to-peer (p2p) overlay networks. In this paper, we propose a new model for optimizing application layer multicast in the context of Peer-to-Peer networks (structured and unstructured). In this contribution, we consider two approaches for multicast tree construction: a "primitive " approach, and an optimized one based on a distributed algorithm. The proposed model inherits from main P2P attributes such as: scalability, fault tolerance, while taking into consideration the respective characteristics of "one to many" and "many to many" applications. We also give a performance evaluation for validation and comparison purposes. For this we consider some main existing application layer multicast protocols.
  • Keywords
    multicast protocols; multimedia communication; peer-to-peer computing; wide area networks; application layer multicast protocols; forward-path forwarding; multimedia streaming; peer-to-peer overlay networks; reverse-path forwarding; scalable P2P model; wide-area networks; Application software; Context modeling; Distributed algorithms; Fault tolerance; Multicast protocols; Peer to peer computing; Resumes; Scalability; Streaming media; Telecommunications; Application Layer Multicast; Optimization; Overlay network; P2P;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS International Conference on
  • Conference_Location
    Doha
  • Print_ISBN
    978-1-4244-1967-8
  • Electronic_ISBN
    978-1-4244-1968-5
  • Type

    conf

  • DOI
    10.1109/AICCSA.2008.4493566
  • Filename
    4493566