Abstract
Markov modulated fluid models are studied in this paper. When the input of the fluid model is represented by one Markov chain, two approaches are given that result in asymptotic expressions for the overflow probability. Both approaches are based on large deviations theories. The equivalence of the expressions is proved. When the input is represented by N similar Markov chains, a reduction property is derived.
Publisher
Cambridge University Press (CUP)
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability
Reference12 articles.
1. Rough Limit Theorems on Large Deviations for Markov Stochastic Processes, II
2. Ridder A. (1991). Applications of large deviations to obtain variance reduction in simulating Markov fluid models. Working Paper 98, Rotterdam School of Management, Erasmus University, Rotterdam, 08 1991.
3. A quick simulation method for excessive backlogs in networks of queues
4. Large deviations and rare events in the study of stochastic algorithms
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