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A heterogeneous blocking system in a random environment

Published online by Cambridge University Press:  14 July 2016

G. Falin*
Affiliation:
Moscow State University
*
Postal address: Department of Probability, Mechanics and Mathematics Faculty, Moscow State University, Moscow 119899, Russia, e-mail: falin@nw.math.msu.su

Abstract

We obtain a necessary and sufficient condition for the interaction between a service system and an external environment under which the stationary joint distribution of the set of busy channels and the state of the external environment is given by a product-form formula.

MSC classification

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1996 

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References

[1] Borovkov, A. A. (1976) Stochastic Processes in Queueing Theory. Springer, New York.Google Scholar
[2] Burman, D. Y. (1981) Insensitivity in queueing systems. Adv. Appl. Prob. 13, 846859.Google Scholar
[3] Chang, C.-S. and Nelson, R. (1993) Perturbation analysis of the M/M/1 queue in a Markovian environment via the matrix-geometric method. Commun. Statist. Stoch. Models. 9, 233246.Google Scholar
[4] Chryssaphinou, O. and Papastavridis, S. (1990) Reliability of a consecutive-k-out-of-n system in a random environment. J. Appl. Prob. 27, 452458.Google Scholar
[5] Cornez, R. (1987) Birth and death processes in random environments with feed-back. J. Appl. Prob. 24, 2534.Google Scholar
[6] Fakinos, D. (1982) The generalized M/G/k blocking system with heterogeneous servers. J. Operat. Res. Soc. 31, 919927.Google Scholar
[7] Gaver, D. P., Jacobs, P. A. and Latouche, G. (1984) Finite birth-and-death models in randomly changing environments. Adv. Appl. Prob. 16, 715731.Google Scholar
[8] Gupta, P. L. and Gupta, R. D. (1990) A bivariate random environmental stress model. Adv. Appl. Prob. 22, 501503.Google Scholar
[9] Hambly, B. (1992) On the limiting distribution of a supercritical branching process in a random environment. J. Appl. Prob. 29, 499518.Google Scholar
[10] Kelly, F. (1979) Reversibility and Stochastic Networks. Wiley, New York.Google Scholar
[11] Lefevre, C. and Michaletzky, G. (1990) Interparticle dependence in a linear death process subjected to a random environment. J. Appl. Prob. 27, 491498.Google Scholar
[12] Lefevre, C. and Milhaud, X. (1990) On the association of the lifelengths of components subjected to a stochastic environment. Adv. Appl. Prob. 22, 961964.Google Scholar
[13] Posner, M. J. M. and Zuckerman, D. (1990) Optimal R&D programs in a random environment. J. Appl. Prob. 27, 343350.Google Scholar
[14] Rao, B. M. and Posner, M. J. M. (1984) On the output process of an M/M/1 queue with randomly varying system parameters. Operat. Res. Lett. 3, 191197.CrossRefGoogle Scholar
[15] Sztrik, J. (1987) On the heterogeneous M/G/n blocking system in a random environment. J. Operat. Res. Soc. 38, 5763.Google Scholar