Reo2MC: a tool chain for performance analysis of coordination models
Abstract
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.
BibTeX
@inproceedings{Arbab-al:FSE09,
author = {Farhad Arbab and
Sun Meng and
Young{-}Joo Moon and
Marta Z. Kwiatkowska and
Hongyang Qu},
title = {{Reo2MC:} a tool chain for performance analysis of coordination models},
booktitle = {{ESEC/SIGSOFT} {FSE}},
pages = {287--288},
publisher = {{ACM}},
year = {2009},
}