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A correlated queue with infinitely many servers

Published online by Cambridge University Press:  14 July 2016

C. Langaris*
Affiliation:
University of Ioannina
*
Postal address: Department of Mathematics, University of Ioannina, Ioannina 45332, Greece.

Abstract

This work analyses a queueing mechanism with infinitely many servers in which the interarrival interval T preceding the arrival of a customer and his service time S are assumed correlated. A bivariate distribution with negative exponential marginals is used and the Laplace transforms pn (z) of the system probabilities in transient state are obtained. Closed-form expressions for the steady-state probabilities pn and their moments are given too. Finally the output process is investigated and conclusions are drawn from numerical calculations.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1986 

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References

[1] Conolly, B. W. (1975) Queueing Systems. Ellis Horwood, Chichester.Google Scholar
[2] Conolly, B. W. (1968) The waiting time of a certain correlated queue. Operat. Res. 16, 10061015.CrossRefGoogle Scholar
[3] Conolly, B. W. and Choo, Q. H. (1979) The waiting time process for a generalized correlated queue with exponential demand and service. SIAM J. Appl. Math. 37, 263275.CrossRefGoogle Scholar
[4] Conolly, B. W. and Hadidi, N. (1969) A correlated queue. J. Appl. Prob. 6, 122136.CrossRefGoogle Scholar
[5] Mitchell, C. R. and Paulson, A. S. (1976) M/M/1 queues with inter-dependent arrival and service processes. Research Report No. 37-76-P7, Rensselaer Polytechnic Institute, New York.Google Scholar
[6] Widder, D. V. (1946) The Laplace Transform. Princeton University Press, Princeton, NJ.Google Scholar