• DocumentCode
    297104
  • Title

    Bandwidth allocation based on real time calculations using the convolution approach

  • Author

    Fabregat-Gesa, Ramon ; Sole-Pareta, Josep ; Marzo-Lázaro, Jose Luis ; Domingo-Pascual, Jordi

  • Author_Institution
    Univ. de Girona, Spain
  • Volume
    2
  • fYear
    1994
  • fDate
    28 Nov- 2 Dec 1994
  • Firstpage
    788
  • Abstract
    This paper focuses on one of the methods for bandwidth allocation in an ATM network: the convolution approach. The convolution approach permits an accurate study of the system load in statistical terms by accumulated calculations, since probabilistic results of the bandwidth allocation can be obtained. Nevertheless, the convolution approach has a high cost in terms of calculation and storage requirements. This aspect makes real-time calculations difficult, so many authors do not consider this approach. With the aim of reducing the cost we propose to use the multinomial distribution function: the enhanced convolution approach (ECA). This permits direct computation of the associated probabilities of the instantaneous bandwidth requirements and makes a simple deconvolution process possible. The ECA is used in connection acceptance control, and some results are presented
  • Keywords
    asynchronous transfer mode; convolution; deconvolution; probability; telecommunication congestion control; telecommunication networks; bandwidth allocation; connection acceptance control; deconvolution; enhanced convolution approach; instantaneous bandwidth; multinomial distribution function; probabilistic results; probabilities; real time calculations; statistical analysis; storage requirements; system load; Asynchronous transfer mode; Bandwidth; Channel allocation; Convolution; Cost function; Deconvolution; Distribution functions; Probability; Resource management; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-1820-X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1994.512703
  • Filename
    512703