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Invariance in resource-sharing systems

Published online by Cambridge University Press:  14 July 2016

C. Courcoubetis*
Affiliation:
University of California, Berkeley
P. Varaiya*
Affiliation:
University of California, Berkeley
J. Walrand*
Affiliation:
University of California, Berkeley
*
Present address: Bell Laboratories 7B-212, Murray Hill, NJ 07974, USA.
∗∗Postal address: Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720, USA.
∗∗Postal address: Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720, USA.

Abstract

A method for proving the invariance of hitting-time distributions with respect to the control strategy of a Markov chain is presented. The method is applied to resource-sharing problems. It provides a new proof of a known result and extends it. Sufficient conditions for such an invariance are given and are illustrated by examples.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1984 

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Footnotes

Research supported by the Office of Naval Research Contract N00014–80-C-0507.

References

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