• DocumentCode
    3155219
  • Title

    The Research of Load Balance Improvement in Industrial Networks

  • Author

    Li, Feng ; Xiao, Yanjun ; Zhang, Qizhi

  • Author_Institution
    Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    39
  • Lastpage
    43
  • Abstract
    The network load balance problem in an industrial network is investigated and this problem is equivalent to an optimization problem: the network partition should reduce the inter-network communication time and simultaneously minimize the communication time difference over the sub-networks for the sake of real-time and reliability performance. Simultaneously the switching capability must be respected when partitioning devices into sub-networks, which sets the constraints of the network optimization problem. The genetic algorithm strategy is proposed to find near-optimal solution for the network partition problem. Then a simulation research is carried out to investigate the capability of the proposed genetic algorithm, and the simulation result shows significant improvement of the network performance after the network optimization.
  • Keywords
    computer network reliability; genetic algorithms; local area networks; genetic algorithm strategy; industrial networks; internetwork communication time; load balance improvement; network partition; optimization problem; partitioning devices; switching capability; Automation; Communication industry; Communication switching; Ethernet networks; Genetic algorithms; Local area networks; Network topology; Telecommunication network reliability; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1009-5
  • Electronic_ISBN
    978-1-4244-1009-5
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.4469323
  • Filename
    4469323