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[CCG+18] R. Calinescu, M. Ceska, S. Gerasimou, M. Kwiatkowska, and N. Paoletti. Efficient Synthesis of Robust Models for Stochastic Systems. Journal of Systems and Software , Elsevier. 2018. [pdf] [bib]
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Abstract. We describe a tool-supported method for the effcient synthesis of parametric continuous-time Markov chains (pCTMC) that correspond to robust designs of a system under development. The pCTMCs generated by our RObust DEsign Synthesis (RODES) method are resilient to changes in the system's operational pro file, satisfy strict reliability, performance and other quality constraints, and are Pareto-optimal or nearly Pareto-optimal with respect to a set of quality optimisation criteria. By integrating sensitivity analysis at designer-specifi ed tolerance levels and Pareto optimality, RODES produces designs that are potentially slightly suboptimal in return for less sensitivity - an acceptable trade-off in engineering practice. We demonstrate the effectiveness of our method and the efficiency of its GPU-accelerated tool support across multiple application domains by using RODES to design a producer-consumer system, a replicated file system and a workstation cluster system.