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The M/G/1 processor sharing queue as the almost sure limit of feedback queues

Published online by Cambridge University Press:  14 July 2016

J. A. C. Resing*
Affiliation:
Delft University of Technology
G. Hooghiemstra*
Affiliation:
Delft University of Technology
M. S. Keane*
Affiliation:
Delft University of Technology
*
Postal address for all authors: Faculty of Technical Mathematics and Informatics, Delft University of Technology, P.O. Box 356, 2600 AJ Delft, The Netherlands.
Postal address for all authors: Faculty of Technical Mathematics and Informatics, Delft University of Technology, P.O. Box 356, 2600 AJ Delft, The Netherlands.
Postal address for all authors: Faculty of Technical Mathematics and Informatics, Delft University of Technology, P.O. Box 356, 2600 AJ Delft, The Netherlands.

Abstract

In the paper a probabilistic coupling between the M/G/1 processor sharing queue and the M/M/1 feedback queue, with general feedback probabilities, is established. This coupling is then used to prove the almost sure convergence of sojourn times in the feedback model to sojourn times in the M/G/1 processor sharing queue. Using the theory of regenerative processes it follows that for stable queues the stationary distribution of the sojourn time in the feedback model converges in law to the corresponding distribution in the processor sharing model. The results do not depend on Poisson arrival times, but are also valid for general arrival processes.

Type
Short Communication
Copyright
Copyright © Applied Probability Trust 1990 

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References

[1] Van Den Berg, J. L. and Boxma, O. J. (1989) Sojourn times in feedback and processor sharing queues. Teletraffic Science for new Cost-Effective Systems, Networks and Services, ITC 12, ed. Bonatti, M., North-Holland, Amsterdam.Google Scholar
[2] Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
[3] Gut, A. (1988) Stopped Random Walks. Springer-Verlag, Berlin.CrossRefGoogle Scholar
[4] Ott, T. J. (1984) The sojourn time distribution in the M/G/1 queue with processor sharing. J. Appl. Prob. 21, 360378.Google Scholar
[5] Pollard, D. (1984) Convergence of Stochastic Processes. Springer-Verlag, New York.Google Scholar
[6] Schassberger, R. (1984) A new approach to the M/G/1 processor sharing queue. Adv. Appl. Prob. 16, 202213.CrossRefGoogle Scholar
[7] Yashkov, S. F. (1983) A derivation of response time distribution for an M/G/1 processor sharing queue. Problems Control Inform. Theory 12, 133148.Google Scholar