• DocumentCode
    466831
  • Title

    A Shared-Path-Protection Based Heuristic Algorithm for the Capacity Placement Problem in Mesh Networks

  • Author

    Wei Xu ; Li, Xing-ming

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    1
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    The total transmission capacity required by a transport network to satisfy demand and protect it from failures contributes significantly to its cost. Unlike SCP (spare capacity placement) scheme, JOCP (jointly optimized capacity placement) scheme could reach more optimal results since it tries to jointly optimize both working and spare capacity. However, the later is more complex and time- consuming according to previous research based on IP solution. This paper presents a heuristic algorithm MSC-JOCP, which is based on shared-path protection, to address this problem. The key idea of the algorithm is to dynamically modulate the metrics of the network´s spans, so as to choose primary and backup routes given attention to load balancing as well as maximally share the spare capacity. Simulation results show that the developed scheme effectively reduces the required total capacity and enhances the network resource utilization.
  • Keywords
    computer networks; resource allocation; telecommunication network routing; backup route; heuristic algorithm; jointly optimized capacity placement; load balancing; mesh network; network resource utilization; shared-path-protection; total transmission capacity; transport network; Artificial intelligence; Costs; Distributed computing; Heuristic algorithms; Load management; Mesh networks; Protection; Resource management; Software algorithms; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.440
  • Filename
    4287473