Stochastic bounds applied to the end to end QoS in communication systems

  • Hind Castel
  • , Lynda Mokdad
  • , Nihal Pekergin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

End to end QoS of communication systems is essential for users but their performance evaluation is a complex issue. The abstraction of such systems are usually given by multidimensional Markov processes whose analysis is very difficult and even intractable, if there is no specific solution form. In this study, we propose an algorithm in order to automatically derive aggregated Markov processes providing upper and lower bounds on performance measures. We applied the algorithm to the analysis of an open tandem queueing network with rejection in order to derive performance measure bounds. Parametric aggregation schemes have been proposed in order to compute bounds on loss probabilities and end to end mean delays. Therefore a tradeoff between the accuracy of the bound and the size of considered Markov chains is possible.

Original languageEnglish
Title of host publicationProceedings of MASCOTS'07 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages374-380
Number of pages7
ISBN (Print)9781424418541
DOIs
Publication statusPublished - 1 Jan 2007
Externally publishedYes
Event15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS'07 - Istanbul, Turkey
Duration: 24 Oct 200726 Oct 2007

Publication series

NameIEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems - Proceedings

Conference

Conference15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS'07
Country/TerritoryTurkey
CityIstanbul
Period24/10/0726/10/07

Keywords

  • Markov processes
  • Performance measures bounds
  • Stochastic comparisons
  • Tandem queueing networks

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