Perturbation analysis of the M/M/1 queue in a Markovian environment via the matrix-geometric method

Perturbation analysis of the M/M/1 queue in a Markovian environment via the matrix-geometric method

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Article ID: iaor1994362
Country: United States
Volume: 9
Start Page Number: 233
End Page Number: 246
Publication Date: Feb 1993
Journal: Stochastic Models
Authors: ,
Keywords: stochastic processes, markov processes
Abstract:

In this paper, the authors consider a family of equ1 queues in which customers according to nonhomogeneous Poisson processes with intensity equ2, equ3. They assume that equ4 is an irreducible finite-state Markov process. Based on matrix-geometric method, the authors use perturbation analysis to obtain the second order approximations for the expected queue length for two cases where equ5 is small and where equ6 is large. Using these approximations, they show that the expected waiting times are strictly decreasing in equ7 when equ8 is small. In the case where equ9 is large, the authors show that the expected waiting times are strictly decreasing in equ10 if the intensity process is dynamically reversible. These results partially answer a question posed by Rolski.

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