• DocumentCode
    2956064
  • Title

    Analysis of single server queueing systems with heavy tail distributions

  • Author

    Rizvi, Azhar A. ; Hussain, Amir

  • Author_Institution
    Dept. of Electron., Quaid-i-Azam Univ., Islamabad
  • fYear
    2003
  • fDate
    9-9 Dec. 2003
  • Firstpage
    176
  • Lastpage
    181
  • Abstract
    Heavy tail distributions serve as better models in today´s high speed communication networks, where the traffic is heterogeneous in nature. It has been asserted that these distributions do not have closed form for their Laplace transforms, hence classical queueing models can not be applied. A little is known about exact solutions of queueing systems with heavy tail distributions. In this paper it has been shown that the exact expressions for the Laplace transforms of some heavy tail distributions can be obtained with little attempt and these expressions offer exact analysis of queueing systems using classical queueing models. A simulator has been developed to verify the analytical results
  • Keywords
    computer networks; queueing theory; statistical distributions; telecommunication traffic; Laplace transforms; heavy tail distributions; heterogeneous traffic; high speed communication networks; single server queueing systems; Analytical models; Buffer storage; Computer networks; Exponential distribution; Network servers; Probability distribution; Queueing analysis; Telecommunication traffic; Telephony; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi Topic Conference, 2003. INMIC 2003. 7th International
  • Conference_Location
    Islamabad
  • Print_ISBN
    0-7803-8183-1
  • Type

    conf

  • DOI
    10.1109/INMIC.2003.1416689
  • Filename
    1416689