Performance prediction of circuit switching under IPP input traffic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Interrupted Poisson Process (IPP) is a doubly stochastic process with an arrival rate governed by a two-state irreducible continuous time Markov chain. The most notable advantage of the IPP is its ability of modelling the time-varying arrival rate while still maintaining analytical tractability. This paper presents a mathematical model for calculating the message latency in circuit-switched k-ary n-cube networks under IPP input traffic. Simulation experiments reveal that the model exhibits a good degree of accuracy.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Telecommunications
EditorsL. Yuan'an, L. Yuan'an
Pages578-582
Number of pages5
Volume1
Publication statusPublished - 2002
EventProceedings of the International Conference on Telecommunications 2002 - Beijing, China
Duration: Jun 23 2002Jun 26 2002

Other

OtherProceedings of the International Conference on Telecommunications 2002
CountryChina
CityBeijing
Period6/23/026/26/02

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Media Technology

Fingerprint Dive into the research topics of 'Performance prediction of circuit switching under IPP input traffic'. Together they form a unique fingerprint.

  • Cite this

    Min, G., & Ould-Khaoua, M. (2002). Performance prediction of circuit switching under IPP input traffic. In L. Yuan'an, & L. Yuan'an (Eds.), Proceeding of the International Conference on Telecommunications (Vol. 1, pp. 578-582)