Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-27T09:14:45.227Z Has data issue: false hasContentIssue false

A Markov chain approach to periodic queues

Published online by Cambridge University Press:  14 July 2016

Søren Asmussen
Affiliation:
University of Copenhagen
Hermann Thorisson*
Affiliation:
University of Göteborg
*
∗∗Postal address: Department of Mathematics, Chalmers University of Technology and University of Göteborg, S-41296 Göteborg, Sweden.

Abstract

We consider GI/G/1 queues in an environment which is periodic in the sense that the service time of the nth customer and the next interarrival time depend on the phase θ n at the arrival instant. Assuming Harris ergodicity of {θ n} and a suitable condition on the traffic intensity, various Markov chains related to the queue are then again Harris ergodic and provide limit results for the standard customer- and time-dependent processes such as waiting times and queue lengths. As part of the analysis, a result of Nummelin (1979) concerning Lindley processes on a Markov chain is reconsidered.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1987 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Present address: Institute of Electronical Systems, Aalborg University, Strandvejen, DK-9000 Aalborg, Denmark.

Supported by the Swedish Natural Science Research Council and by the Icelandic Science Foundation.

References

[1]Arndt, K. (1984) On the distribution of the supremum of a random walk on a Markov chain. Limit Theorems and Related Problems, ed. Borovkov, A. A., Optimizations Software, New York, 253267.Google Scholar
[2]Asmussen, S. (1987) Applied Probability and Queues. Wiley, Chichester.Google Scholar
[3]Athreya, K. B. and Ney, P. (1978) A new approach to the limit theory of recurrent Markov chains. Trans. Amer. Math. Soc. 245, 493501.10.1090/S0002-9947-1978-0511425-0Google Scholar
[4]Böhme, O. (1982) Periodic Markov transition functions, I. Math. Nachr. 108, 231239.10.1002/mana.19821080118Google Scholar
[5]Griffeaths, D. (1979) Coupling methods for Markov processes. Studies in Probability and Ergodic Theory, Adv. Math. Supplementary Series 2, 143.Google Scholar
[6]Harrison, J. M. and Lemoine, A. J. (1977) Limit theorems for periodic queues. J. Appl. Prob. 14, 566576.10.2307/3213459Google Scholar
[7]Jagers, P. and Nerman, O. (1985) Branching processes in a periodically varying environment. Ann. Prob. 13, 254268.10.1214/aop/1176993079Google Scholar
[8]Lemoine, A. J. (1981) On queues with periodic Poisson input. J. Appl. Prob. 18, 889900.Google Scholar
[9]Nummelin, E. (1978) A splitting technique for Harris recurrent Markov chains. Z. Wahrscheinlichkeitsth. 43, 309318.10.1007/BF00534764Google Scholar
[10]Nummelin, E. (1979) A conservation property for general GI/G/1 queues with an application to tandem queues. Adv. Appl. Prob. 11, 660672.Google Scholar
[11]Nummelin, E. (1984) General Irreducible Markov Chains and Non-negative Operators. Cambridge University Press, Cambridge.10.1017/CBO9780511526237Google Scholar
[12]Orey, S. (1971) Lecture Notes on Limit Theorems for Markov Chain Transition Probabilities.Google Scholar
[13]Phatarfod, R. M. (1980) The bottomless dam with seasonal inputs. Austral. J. Statist. 22, 212217.10.1111/j.1467-842X.1980.tb01169.xGoogle Scholar
[14]Revuz, D. (1975) Markov Chains. North-Holland, Amsterdam.Google Scholar
[15]Thorisson, H. (1983) The coupling of regenerative processes. Adv. Appl. Prob. 15, 531561.10.2307/1426618Google Scholar
[16]Thorisson, H. (1985) Periodic regeneration. Stoch. Proc. Appl. 20, 85104.10.1016/0304-4149(85)90018-3Google Scholar