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Approximate performance analysis of computing process by aggregated HSPN with fuzzy parameters
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| dc.contributor.author | GUȚULEAC, Emilian | |
| dc.contributor.author | ZAPOROJAN, Sergiu | |
| dc.contributor.author | MORARU, Victor | |
| dc.contributor.author | SCLIFOS, Alexei | |
| dc.date.accessioned | 2019-10-31T09:55:17Z | |
| dc.date.available | 2019-10-31T09:55:17Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | GUȚULEAC, Emilian, ZAPOROJAN, Sergiu, MORARU, Victor et al. Approximate performance analysis of computing process by aggregated HSPN with fuzzy parameters. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p.17. ISBN 978-9975-108-84-3. | en_US |
| dc.identifier.isbn | 978-9975-108-84-3 | |
| dc.identifier.uri | http://repository.utm.md/handle/5014/5743 | |
| dc.description | Abstract | en_US |
| dc.description.abstract | One of the most widespread modern formalisms, used for the model-based performance and dependability evaluation of complex computing systems and networks, with discrete-continuous processes, are the fluid stochastic Petri nets (FSPN) [1] and the hybrid stochastic Petri nets (HSPN) [2] in which one or more finite places (buffers) can hold fluid rather than discrete tokens. However, an FSPN or HSPN model with 3 N buffers cannot be exactly analyzed analytically [1, 2], thus justifying the development of approximation methods. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Tehnica UTM | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | computing | en_US |
| dc.subject | analysis | en_US |
| dc.subject | stochastic process | en_US |
| dc.title | Approximate performance analysis of computing process by aggregated HSPN with fuzzy parameters | en_US |
| dc.type | Article | en_US |
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Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019
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