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Extension of PRISM by Synthesis of Optimal Timeouts in Fixed-Delay CTMC

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9681)

Abstract

We present a practically appealing extension of the probabilistic model checker PRISM rendering it to handle fixed-delay continuous-time Markov chains (fdCTMCs) with rewards, the equivalent formalism to the deterministic and stochastic Petri nets (DSPNs). fdCTMCs allow transitions with fixed-delays (or timeouts) on top of the traditional transitions with exponential rates. Our extension supports an evaluation of expected reward until reaching a given set of target states. The main contribution is that, considering the fixed-delays as parameters, we implemented a synthesis algorithm that computes the epsilon-optimal values of the fixed-delays minimizing the expected reward. We provide a performance evaluation of the synthesis on practical examples.

Keywords

Transient Analysis Synthesis Algorithm Rate Reward Discretization Bound Expected Reward 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank Vojtěch Forejt and David Parker for fruitful discussions. This work is partly supported by the Czech Science Foundation, grant No. P202/12/G061.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Faculty of InformaticsMasaryk UniversityBrnoCzech Republic

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