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Combining SAN and P-Graphs for the Analysis and Optimization of Industrial Processes

Research Area: Uncategorized Year: 2016
Type of Publication: In Proceedings
Authors: Riccardo Bernini; Andrea Bondavalli; Paolo Lollini; Leonardo Montecchi
Book title: Proceedings of the 12th European Dependable Computing Conference (EDCC2016)
Pages: 197-207
Address: Gothenburg, Sweden
Month: September 5-9
ISBN: 978-1-5090-1582-5
BibTex:
Note:
© IEEE, 2016. This is the author's version of the work. It is posted here by permission of IEEE for your personal use. Not for redristibution. The final publication is available at ieeexplore.ieee.org
Abstract:
Several formalisms and techniques have been in- troduced in the literature for the purpose of modeling and evaluation of complex systems. Each of them has its strengths and weaknesses, which also depend on the purpose of the evaluation. In this paper we propose the integration of two different formalisms in a single framework for the modeling, validation, and optimization of production-supply problems. In particular, the proposed framework combines Process Graphs (P-Graphs) as the modeling formalism, and Stochastic Activity Networks (SAN) for the analysis and optimization. The integration proposed in this paper extends the capabilities of the P-Graph formalism to include performance and dependability metrics in the optimization process, without hampering the modeling convenience of P-Graphs. The proposed approach is applied to a case study of the optimization of a power supply network.
Full text: edcc2016.pdf

Resilient Computing Lab, 2011

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