Abstract
We introduce RODES – a tool for the synthesis of probabilistic systems that satisfy strict reliability and performance requirements, are Pareto-optimal with respect to a set of optimisation objectives, and are robust to variations in the system parameters. Given the design space of a system (modelled as a parametric continuous-time Markov chain), RODES generates system designs with low sensitivity to required tolerance levels for the system parameters. As such, RODES can be used to identify and compare robust designs across a wide range of Pareto-optimal tradeoffs between the system optimisation objectives.
Cite
CITATION STYLE
Calinescu, R., Češka, M., Gerasimou, S., Kwiatkowska, M., & Paoletti, N. (2017). RODES: A robust-design synthesis tool for probabilistic systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10503 LNCS, pp. 304–308). Springer Verlag. https://doi.org/10.1007/978-3-319-66335-7_20
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