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Farhad Arbab; Sun Meng; Young-Joo Moon; Marta Kwiatkowska; Hongyang Qu (2009)
Publisher: ACM
Types: Conference object
Subjects: [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]
International audience; In this paper, we present Reo2MC, a tool chain for the performance evaluation of coordination models. Given a coordination model represented by a stochastic Reo connector, Reo2MC is able to automatically generate the Quantitative Intentional Automaton (QIA) as its operational semantics, and the corresponding Continuous- Time Markov Chain (CTMC), which allows us to apply existing CTMC tools, e.g., PRISM, for performance analysis of Reo connectors. In support of understanding connector behavior and performance properties, the tool also provides the graphical representation of the QIA and Markov Chains.
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