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Functional limit theorems for the queue GI/G/1 in light traffic

Published online by Cambridge University Press:  01 July 2016

Donald L. Iglehart*
Affiliation:
Stanford University

Extract

We consider a single GI/G/1 queueing system in which customer number 0 arrives at time t0 = 0, finds a free server, and experiences a service time v0. The nth customer arrives at time tn and experiences a service time vn. Let the interarrival times tn - tn-1 = un, n ≧ 1, and define the random vectors Xn = (vn-1, un), n ≧ 1. We assume the sequence of random vectors {Xn : n ≧ 1} is independent and identically distributed (i.i.d.). Let E{un} = λ-1 and E{vn} = μ-1, where 0 < λ, μ < ∞. In addition, we shall always assume that E{v02} < ∞ and that the deterministic system in which both vn and un are degenerate is excluded. The natural measure of congestion for this system is the traffic intensity ρ = λ/μ. In this paper we shall restrict our attention to systems in which ρ < 1. Under this condition, which we shall refer to as light traffic, our system is of course stable.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1971 

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References

[1] Billingsley, P. (1968) Convergence of Probability Measures. John Wiley, New York.Google Scholar
[2] Chung, K. (1960) Markov Chains with Stationary Transition Probabilities. Springer-Verlag, Berlin.Google Scholar
[3] Chung, K. (1968) A Course in Probability Theory. Harcourt, Brace and World, New York.Google Scholar
[3a] Doeblin, W. (1938) Sur deux problèmes de M. Kolmogorov concernant les chaines dénombrables. Bull. Soc. Math. France. 66, 210220.CrossRefGoogle Scholar
[3b] Doob, J. (1953) Stochastic Processes. John Wiley, New York.Google Scholar
[4] Freedman, D. (1967) Some invariance principles for functionals of a Markov chain. Ann. Math. Statist. 38, 17.CrossRefGoogle Scholar
[5] Iglehart, D. (1971) Multiple channel queues in heavy traffic. IV: law of the iterated logarithm. Z. Wahrscheinlichkeitsth. 17, 168180.Google Scholar
[6] Iglehart, D. and Whitt, W. (1970a) Multiple channel queues in heavy traffic. Adv. Appl. Prob. 2, 150177.CrossRefGoogle Scholar
[7] Iglehart, D. and Whitt, W. (1970b) Multiple channel queues in heavy traffic II: sequences, networks and batches. Adv. Appl. Prob. 2, 355369.Google Scholar
[8] Kiefer, J. and Wolfowitz, J. (1956) On the characteristics of the general queueing process with applications to random walk. Ann. Math. Statist. 27, 147161.Google Scholar
[9] Lindley, D. (1952) Theory of queues with a single server. Proc. Camb. Phil. Soc. 48, 277289.Google Scholar
[10] Pollaczek, F. (1952) Fonctions caractéristiques de certaines répartitions définies au moyen de la notion d'ordre. Application à la théorie des attentes. C. R. Acad. Sci. Paris, 234, 23342336.Google Scholar
[11] Smith, W. (1955) Regenerative stochastic processes. Proc. Roy. Soc. Ser. A. 232, 631.Google Scholar
[12] Spitzer, F. (1956) A combinatorial lemma and its application to probability theory. Trans. Amer. Math. Soc. 82, 323339.Google Scholar
[12a] Spitzer, F. (1964) Principles of Random Walk. Van Nostrand, Princeton.Google Scholar
[13] Strassen, V. (1964) An invariance principle for the law of the iterated logarithm, Z. Wahrscheinlichkeitsth. 3, 211226.CrossRefGoogle Scholar
[14] Takács, L. (1963) The limiting distribution of the virtual waiting time and the queue size for a single-server queue with recurrent input and general service times. Sankhyā A 25 91100.Google Scholar
[15] Whitt, W. (1968) Weak convergence theorems for queues in heavy traffic. Technical Report No. 2, Department of Operations Research, Stanford University.Google Scholar
[16] Whitt, W. (1970) Multiple channel queues in heavy traffic, III: random server selection. Adv. Appl. Prob. 2, 370375.Google Scholar
[17] Whitt, W. (1971) Weak convergence theorems for priority queues: preemptive resume discipline. J. Appl. Prob. 8, 7494.CrossRefGoogle Scholar