• DocumentCode
    447186
  • Title

    Managing buffer effectively by the back propagation learning algorithm

  • Author

    Wu, Yuanming ; Gao, Ke

  • Author_Institution
    Sch. of Optoelectron. Inf., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    1
  • fYear
    2005
  • fDate
    12-14 Oct. 2005
  • Firstpage
    640
  • Lastpage
    643
  • Abstract
    A novel buffer management algorithm named dynamic neural sharing (DNS) is suggested in this paper. It is based on the back propagation learning algorithm (BPA). Simulations show that it can reduce the packet loss in self-similar traffic patterns, and a trade-off between packet loss and fairness can be realized well than those traditional algorithms such as complete partitioning (CP), complete sharing (CS) and static partial sharing (SPS).
  • Keywords
    backpropagation; neural nets; telecommunication network management; back propagation learning algorithm; buffer management algorithm; complete partitioning; complete sharing; dynamic neural sharing; self-similar traffic patterns; static partial sharing; Autocorrelation; Channel allocation; Management training; Neural networks; Packet switching; Partitioning algorithms; Power system modeling; Telecommunication traffic; Time division multiplexing; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-9538-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2005.1566936
  • Filename
    1566936