On the Performance Estimation and Resource Optimisation in Process Petri Nets
Resumen: Many artificial systems can be modeled as discrete dynamic systems in which resources are shared among different tasks. The performance of such systems, which is usually a system requirement, heavily relies on the number and distribution of such resources. The goal of this paper is twofold: first, to design a technique to estimate the steady-state performance of a given system with shared resources, and second, to propose a heuristic strategy to distribute shared resources so that the system performance is enhanced as much as possible. The systems under consideration are assumed to be large systems, such as service-oriented architecture (SOA) systems, and modeled by a particular class of Petri nets (PNs) called process PNs. In order to avoid the state explosion problem inherent to discrete models, the proposed techniques make intensive use of linear programming (LP) problems.
Idioma: Inglés
DOI: 10.1109/TSMC.2013.2245118
Año: 2013
Publicado en: IEEE transactions on systems, man, and cybernetics. Systems 43, 6 (2013), 1385-1398
ISSN: 2168-2216

Factor impacto JCR: 2.169 (2013)
Categ. JCR: COMPUTER SCIENCE, CYBERNETICS rank: 4 / 22 = 0.182 (2013) - Q1 - T1
Factor impacto SCIMAGO:

Financiación: info:eu-repo/grantAgreement/ES/CICYT-FEDER/DPI2010-20413
Tipo y forma: Article (PostPrint)
Área (Departamento): Lenguajes y Sistemas Informáticos (Departamento de Informática e Ingeniería de Sistemas)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.


Exportado de SIDERAL (2017-03-22-13:43:36)

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