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Queues with negative arrivals

Published online by Cambridge University Press:  14 July 2016

Erol Gelenbe*
Affiliation:
University René Descartes
Peter Glynn*
Affiliation:
Stanford University
Karl Sigman*
Affiliation:
Columbia University
*
Postal address: Ecole des Hautes Etudes en Informatique, Université René Descartes (Paris V), 45 rue des Saints-Peres, 45006 Paris, France.
∗∗Postal address: Department of Operations Research, Stanford University, Stanford, CA 943054022, USA.
∗∗∗Postal address: Department of Industrial Engineering and Operations Research, Columbia University, New York NY 10027, USA.

Abstract

We study single-server queueing models where in addition to regular arriving customers, there are negative arrivals. A negative arrival has the effect of removing a customer from the queue. The way in which this removal is specified gives rise to several different models. Unlike the standard FIFO GI/GI/1 model, the stability conditions for these new models may depend upon more than just the arrival and service rates; the entire distributions of interarrival and service times may be involved.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1991 

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Footnotes

Research supported in part by CNRS-CS (French National Program on Parallel Computation).

Research supported by the U.S. Army Research Office under Contract DAAL-03-88-K-0063.

Research supported by NSF Grant DDM 895–7825.

References

[1] Cellary, W., Gelenbe, E. and Morzy, J. (1988) Concurrency Control in Distributed Databases. North-Holland, Amsterdam.Google Scholar
[2] Franken, P., Koenig, D., Arndt, U. and Schmidt, V. (1981) Queues and Point Processes. Akademie Verlag, Berlin.Google Scholar
[3] Gelenbe, E. (1991) Product form networks with negative and positive customers. J. Appl. Prob. 28(3).CrossRefGoogle Scholar
4 Gelenbe, E. and Pujolle, G. (1986) Introduction to Networks of Queues. Wiley, London.Google Scholar
[5] Gross, D. and Harris, C. M. (1985) Fundamentals of Queueing, 2nd edn. Wiley, New York.Google Scholar
[6] Kandel, E. C. and Schwartz, J. H. (1985) Principles of Neural Science. Elsevier, Amsterdam.Google Scholar
[7] Rumelhart, D. E., Mcclelland, J. L. and The Pdp Research Group (1986) Parallel Distributed Processing, Vols. I and II. Bradford Books and MIT Press, Cambridge, Mass.CrossRefGoogle Scholar
[8] Sigman, K. (1988) Queues as Harris recurrent Markov chains. Queueing Systems 3, 179198.CrossRefGoogle Scholar
[9] Sigman, K. (1989) One-dependent regenerative processes and queues in continuous time. Math. Operat. Res. 15, 175189.Google Scholar
[10] Tweedie, R. L. (1976) Criteria for classifying general Markov chains. Adv. Appl. Prob. 8, 737771.CrossRefGoogle Scholar
[11] Wolff, R. W. (1989) Stochastic Modeling and the Theory of Queues. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar