Optimizing Performance of Continuous-Time Stochastic Systems Using Timeout Synthesis
| Autoři | |
|---|---|
| Rok publikování | 2015 |
| Druh | Článek ve sborníku |
| Konference | Quantitative Evaluation of Systems |
| Fakulta / Pracoviště MU | |
| Citace | BRÁZDIL, Tomáš, Ľuboš KORENČIAK, Jan KRČÁL, Petr NOVOTNÝ a Vojtěch ŘEHÁK. Optimizing Performance of Continuous-Time Stochastic Systems Using Timeout Synthesis. In Javier Campos, Boudewijn R. Haverkort. Quantitative Evaluation of Systems. BERLIN: SPRINGER-VERLAG BERLIN, 2015, s. 141-159. ISBN 978-3-319-22263-9. Dostupné z: https://dx.doi.org/10.1007/978-3-319-22264-6_10. |
| Doi | http://dx.doi.org/10.1007/978-3-319-22264-6_10 |
| Obor | Informatika |
| Klíčová slova | continuous-time Markov chains; synthesis; timeout |
| Popis | We consider parametric version of fixed-delay continuous-time Markov chains (or equivalently deterministic and stochastic Petri nets, DSPN) where fixed-delay transitions are specified by parameters, rather than concrete values. Our goal is to synthesize values of these parameters that, for a given cost function, minimise expected total cost incurred before reaching a given set of target states. We show that under mild assumptions, optimal values of parameters can be effectively approximated using translation to a Markov decision process (MDP) whose actions correspond to discretized values of these parameters. To this end we identify and overcome several interesting phenomena arising in systems with fixed delays. |
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