The Annals of Applied Probability

The Net Output Process of a System with Infinitely many Queues

P. A. Ferrari and L. R. G. Fontes
Source: Ann. Appl. Probab. Volume 4, Number 4 (1994), 1129-1144.

Abstract

We study a system of infinitely many queues with Poisson arrivals and exponential service times. Let the net output process be the difference between the departure process and the arrival process. We impose certain ergodicity conditions on the underlying Markov chain governing the customer path. These conditions imply the existence of an invariant measure under which the average net output process is positive and proportional to the time. Starting the system with that measure, we prove that the net output process is a Poisson process plus a perturbation of order 1. This generalizes the classical theorem of Burke which asserts that the departure process is a Poisson process. An analogous result is proven for the net input process.

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Primary Subjects: 60K35
Secondary Subjects: 60K25, 90B22, 90B15
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aoap/1177004907
JSTOR: links.jstor.org
Digital Object Identifier: doi:10.1214/aoap/1177004907
Mathematical Reviews number (MathSciNet): MR1304777
Zentralblatt MATH identifier: 0812.60081


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The Annals of Applied Probability

The Annals of Applied Probability

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