Detail publikace

Precise Parameter Synthesis for Stochastic Petri Nets with Interval Rate Parameters

ČEŠKA, M. ČEŠKA, M. PAOLETTI, N.

Originální název

Precise Parameter Synthesis for Stochastic Petri Nets with Interval Rate Parameters

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

We consider the problem of synthesising parameters affecting transition rates and probabilities in generalised Stochastic Petri Nets (GSPNs). Given a time-bounded property expressed as a probabilisitic temporal logic formula, our method allows computing the parameters values for which the probability of satisfying the property meets a given bound, or is optimised. We develop algorithms based on reducing the parameter synthesis problem for GSPNs to the corresponding problem for continuous-time Markov Chains (CTMCs), for which we can leverage existing synthesis algorithms, while retaining the modelling capabilities and expressive power of GSPNs. We evaluate the usefulness of our approach by synthesising parameters for two case studies.

Klíčová slova

parameter synthesis Stochastic Petri Nets continuous-time Markov Chains tmeporal logic

Autoři

ČEŠKA, M.; ČEŠKA, M.; PAOLETTI, N.

Vydáno

25. 2. 2017

Nakladatel

Springer Verlag

Místo

Heidelberg

ISBN

978-3-319-74726-2

Kniha

Proceedings of 16th International Conference on Computer Aided Systems Theory

Edice

LNCS volume 10672

Strany od

38

Strany do

46

Strany počet

9

BibTex

@inproceedings{BUT146256,
  author="Milan {Češka} and Milan {Češka} and Nicola {Paoletti}",
  title="Precise Parameter Synthesis for Stochastic Petri Nets with Interval Rate Parameters",
  booktitle="Proceedings of 16th International Conference on Computer Aided Systems Theory",
  year="2017",
  series="LNCS volume 10672",
  pages="38--46",
  publisher="Springer Verlag",
  address="Heidelberg",
  doi="10.1007/978-3-319-74727-9\{_}5",
  isbn="978-3-319-74726-2"
}