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Characterizing the idle-period distribution of GI/G/1 queues

Published online by Cambridge University Press:  14 July 2016

Jingwen Li
Affiliation:
National University of Singapore
Jihong Ou*
Affiliation:
National University of Singapore
*
Postal address: Department of Decision Sciences, National University of Singapore, 10 Kent Ridge Crescent, Singapore 0511.

Abstract

A variety of performance measures of a GI/G/1 queue are explicitly related to the idle-period distribution of the queue, suggesting that the system analysis can be accomplished by the analysis of the idle period. However, the ‘stand-alone' relationship for the idle-period distribution of the GI/G/1 queue (i.e. the counterpart of Lindley's equation) has not been found in the literature. In this paper we develop a non-linear integral equation for the idle period distribution of the GI/G/1 queue. We also show that this non-linear system defines a unique solution. This development makes possible the analysis of the GI/G/1 queue in a different perspective.

MSC classification

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1995 

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