Diffusion Approximations for Queues with Markovian Bases

Toshikazu Kimura ()

Annals of Operations Research, 2002, vol. 113, issue 1, 27-40

Abstract: Consider a base family of state-dependent queues whose queue-length process can be formulated by a continuous-time Markov process. In this paper, we develop a piecewise-constant diffusion model for an enlarged family of queues, each of whose members has arrival and service distributions generalized from those of the associated queue in the base. The enlarged family covers many standard queueing systems with finite waiting spaces, finite sources and so on. We provide a unifying explicit expression for the steady-state distribution, which is consistent with the exact result when the arrival and service distributions are those of the base. The model is an extension as well as a refinement of the M/M/s-consistent diffusion model for the GI/G/s queue developed by Kimura [13] where the base was a birth-and-death process. As a typical base, we still focus on birth-and-death processes, but we also consider a class of continuous-time Markov processes with lower-triangular infinitesimal generators. Copyright Kluwer Academic Publishers 2002

Keywords: piecewise-constant diffusions; Markovian queues; finite capacity; finite sources; steady-state distribution; birth-and-death processes; lower-triangular infinitesimal generators (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1023/A:1020997509178

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