Efficient Synthesis of Robust Models for Stochastic Systems

Radu Constantin Calinescu, Milan Ceska, Simos Gerasimou, Marta Kwiatkowska, Nicola Paoletti

Research output: Contribution to journalArticlepeer-review


We describe a tool-supported method for the efficient 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 profile, 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-specified 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.
Original languageEnglish
Pages (from-to)140-158
Number of pages19
JournalJournal of Systems and Software
Early online date16 May 2018
Publication statusPublished - Sept 2018

Bibliographical note

© 2018 The Authors.


  • software performance and reliability engineering
  • robust design
  • probabilistic model synthesis
  • multi-objective optimisation
  • Probabilistic model synthesis
  • Software performance and reliability engineering
  • Robust design
  • Multi-objective optimisation

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