• DocumentCode
    2593244
  • Title

    Analytical model for the switch handling self-similar traffic with variable packet length

  • Author

    Perati, Malla Reddy ; Kumar, Sampath K. ; Sampath, K.K. ; Shao, Shou-Kuo

  • Author_Institution
    Dept. of Math., Kakatiya Univ., Warangal
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It has been reported that Internet Protocol (IP) packet traffic exhibits self-similarity or long range dependence (LRD) and causes the degradation of switch performance. Therefore, it is crucial for an appropriate buffer design of switch. In this paper, we investigate the packet loss behavior of the switch under self-similar variable packet length traffic by modeling it MMPP/M/1/K as queueing system wherein MMPP (Markov-Modulated Poisson Process) is fitted by equating the variance of MMPP and that of self-similar traffic. MMPP model is already validated one to emulate the self-similar characteristics. We investigate the relationship between packet loss probability and system parameters, and parameter of self-similar traffic. Numerical results show that analysis presented here is useful in dimensioning the switch.
  • Keywords
    Markov processes; packet switching; probability; queueing theory; telecommunication traffic; Internet protocol; Markov-modulated Poisson process; buffer design; long range dependence; packet loss probability; packet switching; queueing systems; switch handling self-similar traffic; variable packet length; Analytical models; Mathematics; Packet switching; Performance analysis; Queueing analysis; Switches; Telecommunication switching; Telecommunication traffic; Traffic control; Wide area networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks, 2008. ICON 2008. 16th IEEE International Conference on
  • Conference_Location
    New Delhi
  • ISSN
    1556-6463
  • Print_ISBN
    978-1-4244-3805-1
  • Type

    conf

  • DOI
    10.1109/ICON.2008.4772662
  • Filename
    4772662