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Adequate Models for Multiprocessor Stochastic Systems

Nadwa S. Younis · University of Mosul, College of Education for Pure Science · 2012

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Abstract<br /> In this paper, two models are presented for Multiprocessor Stochastic Systems (MSS). The first one is the Generalized Semi-Markov Process (GSMP), the second is the Generalized Stochastic Petri Net (GSPN). These models are used to study performance arbitrary parameters of (MSS). Our main result is by constructing an isomorphism mapping between (MSS) model and (GSPN) model. This isomorphism captures the essential dynamical structure of (MSS).

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APA 7

Younis, N. S. (2012). Adequate Models for Multiprocessor Stochastic Systems. https://doi.org/10.33899/edusj.2012.59001

MLA

Younis, Nadwa S. "Adequate Models for Multiprocessor Stochastic Systems." 2012. https://doi.org/10.33899/edusj.2012.59001.

Chicago

Younis, Nadwa S. 2012. "Adequate Models for Multiprocessor Stochastic Systems.". https://doi.org/10.33899/edusj.2012.59001.

Harvard

Younis, N. S. 2012, Adequate Models for Multiprocessor Stochastic Systems, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2012.59001 [Accessed 7 Aug. 2026].

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Title
Adequate Models for Multiprocessor Stochastic Systems
Author / contributors
Nadwa S. Younis
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English

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