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Asymptotic analysis of a fluid model modulated by an M/M/1 queue

Published online by Cambridge University Press:  01 July 2016

Charles Knessl*
Affiliation:
University of Illinois at Chicago
Diego Ernesto Dominici*
Affiliation:
State University of New York at New Paltz
*
Postal address: Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago (M/C 249), 851 South Morgan Street, Chicago, IL 60607-7045, USA. Email address: [email protected]
∗∗ Postal address: Department of Mathematics, State University of New York at New Paltz, 1 Hawk Dr. Suite 9, New Paltz, NY 12561-2443, USA. Email address: [email protected]
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Abstract

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We analyze asymptotically a differential-difference equation that arises in a Markov-modulated fluid model. We use singular perturbation methods to analyze the problem with appropriate scalings of the two state variables. In particular, the ray method and asymptotic matching are used.

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 2008 

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