• DocumentCode
    569532
  • Title

    Load Balancing Based on Subscriber Characteristic for MSC POOL System

  • Author

    Sanshan Sun ; Wendie Wang ; Menghan Wei ; Zhaorong Zhou

  • Author_Institution
    Coll. of Physic & Electron. Eng, Sichuan Normal Univ., Chengdu, China
  • fYear
    2012
  • fDate
    17-19 Aug. 2012
  • Firstpage
    1111
  • Lastpage
    1115
  • Abstract
    In order to promote the smooth evolution of telecommunication networks, Softswitch have been widely implemented in Core Network (CN). Moreover, the technique of MSC POOL on basis of Softswitch improves the performance of network on disaster backup and operation efficiency. MSC POOL system achieves these objectives through sharing resource and balancing load among MSCs. However, current method is a static way of distributing the load according to presetted redundancies of MSCs. It would result in a constant heavy load to MSC as the simple average of subscriber quantity, but not considering of actual service type or service time. In this paper, we propose a dynamic scheme based on subscriber characteristic to achieve intellectualized load balancing by transferring service requests from the overload MSC to a appropriate one. It could decrease latency time of service effectively, and handle unpredictable traffic variance when load bursts. We conduct the simulation experiments, and the numerical results demonstrate the effectiveness of our scheme.
  • Keywords
    mobile computing; resource allocation; MSC POOL system; core network; latency time; load balancing; resource sharing; telecommunication networks; traffic variance; Artificial neural networks; Computer architecture; Load management; Load modeling; Mobile communication; Patents; Radio access networks; MSC POOL; Softswitch; load balancing; subscriber characteristic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-2406-9
  • Type

    conf

  • DOI
    10.1109/ICCIS.2012.180
  • Filename
    6300817