• DocumentCode
    491923
  • Title

    A modified genetic algorithm for the optimization of aggregated multicast

  • Author

    Wang, Hua ; Ge, Zuquan ; Chaoying Yu ; Yi, Shanwen

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan
  • Volume
    01
  • fYear
    2009
  • fDate
    15-18 Feb. 2009
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    The large-scale increase of multicast state is the major factor preventing the wide application of multicast when there are a large number of multicast groups in the network. As a new technology of reducing forwarding states of multicast state, aggregated multicast aims to enable the multicast groups that can be integrated in the network to share one distribution tree, which reduces the number of multicast trees, thus leading to the reduction of forwarding states and improvement of network performance. A modified genetic algorithm is proposed in this paper to optimize aggregated multicast problem. Simulation results indicate that network performance is improved greatly when applying this algorithm.
  • Keywords
    IP networks; computer network performance evaluation; genetic algorithms; multicast communication; telecommunication network topology; IP multicast technology; aggregated multicast problem; distribution tree; genetic algorithm; multicast trees; network performance; network topology; Application software; Bandwidth; Chaos; Computer science; Genetic algorithms; Large-scale systems; Multicast algorithms; Multicast protocols; Peer to peer computing; Streaming media; Aggregated multicast; fusion operator; genetic algorithm; minimal set cover;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4809907