Performance analysis of a Poisson-Pareto queue over the full range of system parameters

  • Authors:
  • Ronald G. Addie;Timothy D. Neame;Moshe Zukerman

  • Affiliations:
  • Department of Mathematics and Computing, University of Southern Queensland, Australia;ARC Special Research Centre for Ultra-Broadband Information Networks, EEE Department, The University of Melbourne, Australia;Electronic Engineering Department, City University of Hong Kong, HongKong

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2009

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Abstract

There have been many queuing analyses for a single server queue fed by an M/G/~ traffic process, in which G is a Pareto distribution, that focus on certain limiting conditions. In this paper we enhance the so-called Quasi-Stationary (QS) approximation - a queuing analysis introduced previously that provides an algorithm for computation of an accurate approximation for the stationary queue distribution, applicable to the entire range of system parameters. By numerical evaluation of the QS approximation and the asymptotic approximations (large buffer, many sources, and heavy traffic) over an extremely wide range of parameter values we are able to graphically display consistency of the QS approximation with all the asymptotic results. We demonstrate that the accuracy of the asymptotic approximations is satisfactory only in limited regions of the system parameter space.