• DocumentCode
    2312584
  • Title

    Efficient fractional Gaussian noise generation using the spatial renewal process

  • Author

    Taralp, T. ; Devetsikiotis, Michael ; Lambadaris, IOannis

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont.
  • Volume
    3
  • fYear
    1998
  • fDate
    7-11 Jun 1998
  • Firstpage
    1456
  • Abstract
    An efficient and easy technique to generate fractional Gaussian noise traffic based on the spatial renewal process is developed and demonstrated. The synthetically generated trace reproduces the desired marginal, autocorrelation and Hurst parameters well. The model is particularly suitable for use in the discrete-event simulation of queueing systems involving VBR compressed video and aggregated LAN traffic
  • Keywords
    Gaussian noise; discrete event simulation; local area networks; parameter estimation; queueing theory; telecommunication traffic; Hurst parameters; VBR compressed video; aggregated LAN traffic; autocorrelation; discrete-event simulation; fractional Gaussian noise generation; fractional Gaussian noise traffic; marginal; queueing systems; spatial renewal process; synthetically generated trace; Autocorrelation; Discrete event simulation; Gaussian noise; Local area networks; Mathematics; Statistics; Steady-state; Systems engineering and theory; Traffic control; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1998. ICC 98. Conference Record. 1998 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-4788-9
  • Type

    conf

  • DOI
    10.1109/ICC.1998.683067
  • Filename
    683067