• DocumentCode
    3402759
  • Title

    A Scalable Approach for Application Layer Multicast in P2P Networks

  • Author

    Amad, M. ; Meddahi, Amal

  • Author_Institution
    Univ. of Bejaia, Bejaia
  • fYear
    2008
  • fDate
    17-21 March 2008
  • Firstpage
    498
  • Lastpage
    503
  • Abstract
    Application layer multicast (ALM) is considered as an attractive approach for implementing wide area multicast services. In ALM, multicast functionality is implemented at the edge instead of the core network (routers). As opposed to network-layer multicast, application layer multicast requires no infrastructure support and can be easily deployed in the Internet. In this paper, we propose a new generic and scalable approach for optimizing application layer multicast in the context of Peer-to-Peer networks (structured and unstructured). This approach benefits from P2P properties and characteristics. 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 protocol inherits from main P2P attributes such as: scalability, fault tolerance. Performance evaluation shows that results are globally satisfactory compared to the main existing application layer multicast protocols.
  • Keywords
    multicast protocols; peer-to-peer computing; Internet; application layer multicast; core network; distributed algorithm; fault tolerance; multicast functionality; multicast protocols; multicast tree construction; peer-to-peer networks; performance evaluation; primitive approach; scalability; Buildings; Distributed algorithms; IP networks; Multicast protocols; Peer to peer computing; Pervasive computing; Scalability; Streaming media; Telecommunications; Unicast; Application Layer Multicast; P2P; Scalability.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3113-7
  • Type

    conf

  • DOI
    10.1109/PERCOM.2008.24
  • Filename
    4517445