An approximation for the loss probability in a multiserver queue fed by a shifting level process

Research output: Contribution to journalArticle

Abstract

A shifting level (SL) process is useful to traffic modeling because it is very easy to match the stationary distribution and autocorrelation function of the SL process with those of measured real traffics. Especially, SL processes have been used to traffic modeling for VBR video traffics reflecting the long range dependence and the scene structure. We give an approximation for the loss probability in a multiserver queue fed by a SL process. Numerical examples show that our approximation is very accurate.

Original languageEnglish
Pages (from-to)506-508
Number of pages3
JournalIEEE Communications Letters
Volume6
Issue number11
DOIs
Publication statusPublished - 2002 Nov 1

Fingerprint

Multi-server
Loss Probability
Autocorrelation
Queue
Traffic Modeling
Approximation
Traffic
Long-range Dependence
Autocorrelation Function
Stationary Distribution
Distribution Function
Numerical Examples

Keywords

  • DAR(1)
  • Long range dependence
  • Loss probability
  • Multiserver queue
  • Shifting level (SL) process
  • Traffic modeling
  • VBR video traffics

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

An approximation for the loss probability in a multiserver queue fed by a shifting level process. / Kim, Bara.

In: IEEE Communications Letters, Vol. 6, No. 11, 01.11.2002, p. 506-508.

Research output: Contribution to journalArticle

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