Author:
Kulkarni V. G.,Glazebrook K. D.
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: (λ
k
, μ
k
, r
k
), where 1/λ
k
is the mean off time, 1/μ
k
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 τ
k
on and mean off time τ
k
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 (λ
k
o, μ
k
o, r
k
o), where λ
k
o = 1/τ
k
off, and μ
k
o = 1/τ
k
on. In this paper we derive methods of computing τ
k
on, τ
k
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.
Publisher
Cambridge University Press (CUP)
Subject
Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability
Cited by
6 articles.
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