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JCR Impact Factor: 0.650
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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  2/2001 - 6

Hybrid Stochastic Petri Nets for the Discrete-Continuous Modeling and Performance Evaluation of Computers Systems

Emilian GUTULEAC, Vasile GISCA, Sergiu ZAPOROJAN, Nicolae OBJELEAN
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Not available online | Views: 731

Author keywords
hybrid stochastic Petri nets, discrete-continuous modeling, performance evaluation

References keywords
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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

Abstract
Quick view
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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Copyright ©2001-2019
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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