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Single-Server with Delay-Dependent Arrival Streams

Published online by Cambridge University Press:  27 July 2009

P. H. Brill
Affiliation:
University of Windor, Windsor, Ontario, Canada N9B 3P4

Abstract

This paper derives the steady-state distribution of the virtual wait in GI/M1 queues in which the interarrival times depend on the virtual wait. Applications are queues in which the time it will take for the system to start servicing a new arrival (virtual wait) affects the generation of new arrivals. Such queues arise in airport or large-city freeway traffic control systems. Related state-dependent situations occur in production-inventory systems, cash flow in banking or in insurance systems, dam control systems, and in natural sciences. The method of analysis is by means of system-point level crossing theory.

Type
Articles
Copyright
Copyright © Cambridge University Press 1988

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References

Brill, P.H. (1975). System-point theory in exponential queues. Ph.D. Dissertation. University of Toronto, Toronto, Canada.Google Scholar
Brill, P.H. (1979). An embedded level crossing technique for dams and queues. Journal of Applied Probability 16:174186.Google Scholar
Bril, P.H. (1983). System-point Monte-Carlo simulation of stationary distributions of waiting times in single-server queues. University of Waterloo, Technical Report STAT-83−1 1.Google Scholar
Brill, P.H. (1987). System-point computation of distributions in queues, dams, and inventories. University of Windsor, Faculty of Business Administration, Working Paper No. W87−12 (1987). (submitted for publication).Google Scholar
Brill, P.H. (1987). Queues with delay-dependent arrival streams. University of Windsor, Faculty of Business Administration, Working Paper No. 87−16.Google Scholar
Brill, P.H. & Hornik, J. (1984). A system-point approach to nonuniform advertising insertions. Operations Research 32:722.CrossRefGoogle Scholar
Brill, P.H. & Posner, M.J.M. (1981). The system-point method in exponential queues: a level crossing approach. Mathematics of Operations Research 6(1):3149.Google Scholar
Gross, D. & Harris, C.M. (1974). Fundamentals of Queuing Theory. New York: John Wiley & Sons.Google Scholar
Prabhu, N.U. (1965). Queues and Inventories, A Study of Their Basic Stochastic Processes. New York: Wiley & Sons.Google Scholar
Posner, M.J.M. (1973). Single-server queues with service time depending on waiting time. Operations Research 21:610616.CrossRefGoogle Scholar
Ross, S.M. (1983). Stochastic Processes. New York: John Wiley & Sons.Google Scholar
Takacs, L. (1962). Introduction to the Theory of Queues. New York: Oxford University Press.Google Scholar
Tricomi, F.G. (1985). Integral Equations. New York: Dover Publications, Inc.Google Scholar