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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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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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