|2/2001 - 6|
Hybrid Stochastic Petri Nets for the Discrete-Continuous Modeling and Performance Evaluation of Computers SystemsEmilian GUTULEAC, Vasile GISCA, Sergiu ZAPOROJAN, Nicolae OBJELEAN
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hybrid stochastic Petri nets, discrete-continuous modeling, performance evaluation
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About this article
Date of Publication: 2001-04-02
Volume 1, Issue 2, Year 2001, On page(s): 29 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
We present second order Hybrid Stochastic Petri Nets (HSPNs) that can be used for modeling dynamic systems that com-prise both discrete and continuous quantities. Discrete state changes are assumed to the Markovian process and continuous variables are assumed to be random diffusion process. This is achieved by the introduction of a new class of continuous place and continuous transition by a re-formulation of the enabling and firing rules. By utilizing specific numerical solution technique on an approx-imation of the first order HSPNs using a discrete-state stochastic process, from which a continuous-time Markov chain (CTMC) can be derived. We present one example to demonstrate the enhancements contained in new formalism for the modeling and performance evaluation of computers systems.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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