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A convexity result for single-server exponential loss systems with non-stationary arrivals

Published online by Cambridge University Press:  14 July 2016

Antony Svoronos*
Affiliation:
Columbia University
Linda Green
Affiliation:
Columbia University
*
Postal address: Graduate School of Business, Uris Hall, Columbia University, New York, NY 10027, USA.

Abstract

We consider single-server loss systems with exponential service times and non-stationary Poisson input. We prove that if the arrival rate is given by a periodic function, the proportion of lost customers is convex increasing in the amplitude.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1988 

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References

Heyman, D. P. (1982) On Ross's conjectures about queues with non-stationary Poisson arrivals. J. Appl. Prob. 19, 245249.CrossRefGoogle Scholar
Heyman, D. P. and Whitt, W. (1984) The asymptotic behavior of queues with time-varying arrival rates. J. Appl. Prob. 21, 143156.CrossRefGoogle Scholar
Rolski, T. (1981) Queues with non-stationary input stream: Ross's conjecture. Adv. Appl. Prob. 13, 603618.CrossRefGoogle Scholar
Rolski, T. (1983) Comparison theorems for queues with dependent interarrival times. Proceedings of the International Seminar , Paris, France.Google Scholar
Ross, S. M. (1978) Average delay in queues with non-stationary Poisson arrivals. J. Appl. Prob. 15, 602609.CrossRefGoogle Scholar