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Output analysis of a single-buffer multiclass queue: FCFS service

Published online by Cambridge University Press:  14 July 2016

V. G. Kulkarni*
Affiliation:
University of North Carolina
K. D. Glazebrook*
Affiliation:
University of Edinburgh
*
∗ Postal address: Department of Operations Research, University of North Carolina, Chapel Hill, NC 27599-3180, USA. Email address: vkulkarn@email.unc.edu
∗∗ Postal address: School of Management, University of Edinburgh, Edinburgh EH8 9JY, UK.

Abstract

We consider an infinite capacity buffer where the incoming fluid traffic belongs to K different types modulated by K independent Markovian on-off processes. The kth input process is described by three parameters: (λk , μk , r k ), where 1/λk is the mean off time, 1/μk is the mean on time, and r k is the constant peak rate during the on time. The buffer empties the fluid at rate c according to a first come first served (FCFS) discipline. The output process of type k fluid is neither Markovian, nor on-off. We approximate it by an on-off process by defining the process to be off if no fluid of type k is leaving the buffer, and on otherwise. We compute the mean on time τk on and mean off time τk off. We approximate the peak output rate by a constant r k o so as to conserve the fluid. We approximate the output process by the three parameters (λk o, μk o, r k o), where λk o = 1/τk off, and μk o = 1/τk on. In this paper we derive methods of computing τk on, τk off and r k o for k = 1, 2,…, K. They are based on the results for the computation of expected reward in a fluid queueing system during a first passage time. We illustrate the methodology by a numerical example. In the last section we conduct a similar output analysis for a standard M/G/1 queue with K types of customers arriving according to independent Poisson processes and requiring independent generally distributed service times, and following a FCFS service discipline. For this case we are able to get analytical results.

MSC classification

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Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2002 

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