Priority queueing systems: from probability generating functions to tail probabilities

  • Authors:
  • Tom Maertens;Joris Walraevens;Herwig Bruneel

  • Affiliations:
  • Department of Telecommunications and Information Processing, SMACS Research Group, Ghent University --- UGent, Ghent, Belgium;Department of Telecommunications and Information Processing, SMACS Research Group, Ghent University --- UGent, Ghent, Belgium;Department of Telecommunications and Information Processing, SMACS Research Group, Ghent University --- UGent, Ghent, Belgium

  • Venue:
  • Queueing Systems: Theory and Applications
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Obtaining (tail) probabilities from a transform function is an important topic in queueing theory. To obtain these probabilities in discrete-time queueing systems, we have to invert probability generating functions, since most important distributions in discrete-time queueing systems can be determined in the form of probability generating functions. In this paper, we calculate the tail probabilities of two particular random variables in discrete-time priority queueing systems, by means of the dominant singularity approximation. We show that obtaining these tail probabilities can be a complex task, and that the obtained tail probabilities are not necessarily exponential (as in most `traditional' queueing systems). Further, we show the impact and significance of the various system parameters on the type of tail behavior. Finally, we compare our approximation results with simulations.