• DocumentCode
    1344493
  • Title

    Neural network based cell scheduling in ATM node

  • Author

    Reljin, Irini S.

  • Author_Institution
    PTT Coll., Belgrade, Yugoslavia
  • Volume
    2
  • Issue
    3
  • fYear
    1998
  • fDate
    3/1/1998 12:00:00 AM
  • Firstpage
    78
  • Lastpage
    80
  • Abstract
    This letter deals with the queueing discipline for the superposition of arrival processes in the asynchronous transfer mode (ATM) case, particularly for the bursty traffic. A competitive algorithm, based on neural networks, for the cell scheduling is suggested. Computer simulations demonstrate that the new algorithm may be very useful in the bursty traffic case: the cell loss rate is at least one order of magnitude lower than in case of the classical round-robin discipline.
  • Keywords
    asynchronous transfer mode; neural nets; queueing theory; scheduling; telecommunication computing; ATM node; algorithm; arrival processes; asynchronous transfer mode; bursty traffic; cell loss rate; competitive algorithm; computer simulations; neural network based cell scheduling; queueing discipline; Asynchronous transfer mode; Computer simulation; Intelligent networks; Neural networks; Processor scheduling; Round robin; Scheduling algorithm; Switches; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/4234.662633
  • Filename
    662633
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1344493