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SM ISO690:2012 GUŢULEAC, Emilian, ZAPOROJAN, Sergiu, MORARU, Victor, SCLIFOS, Alexei, FURTUNA, Andrei. Approximate main value performance analysis of computing process using SHPN with fuzzy parameters. In: Journal of Engineering Sciences, 2020, vol. 27, nr. 3, pp. 111-133. ISSN 2587-3474. DOI: https://doi.org/10.5281/zenodo.3949678 |
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Journal of Engineering Sciences | ||||||
Volumul 27, Numărul 3 / 2020 / ISSN 2587-3474 /ISSNe 2587-3482 | ||||||
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DOI:https://doi.org/10.5281/zenodo.3949678 | ||||||
CZU: 004.7 | ||||||
Pag. 111-133 | ||||||
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Rezumat | ||||||
Stochastic fluid models are a class of analytic models that have recently drawn the attention of many researchers for the modeling and performance evaluation of complex computer systems and networks (CSN). In this paper we present an approximated main-value analysis method оf stochastic hybrid Petri nets (SHPN) mоdels with fuzzy parameters (FSHPN) fоr performances evaluation оf data continuous transmission CSN virtual channels. The method is based on the main-value analytical solution of one buffer finite FSHPN sub-models, also referred dipoles as building blocks. We develop a fixed point iterative algorithm to accurately estimate performance measures оf buffer pipe-line FSHPN models such as throughput and mean buffer cоntents. The accuracy оf the proposed method has been validated by simulation experiments. |
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Cuvinte-cheie aggregation, approximation, computer system and networks, decomposition, evaluation, fuzzy numbers, Hybrid, Petri nets, stochastic, throughput, Agregare, aproximare, sisteme și rețele de calculatoare, decompoziție, evaluare, numere fuzzy, hibrid, productivitate, rețele Petri, stocastic |
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