Publication detail

Precise Parameter Synthesis for Stochastic Petri Nets with Interval Rate Parameters

ČEŠKA, M. ČEŠKA, M. PAOLETTI, N.

Original Title

Precise Parameter Synthesis for Stochastic Petri Nets with Interval Rate Parameters

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

ČEŠKA, M.; ČEŠKA, M.; PAOLETTI, N.

Released

25. 2. 2017

Publisher

Springer Verlag

Location

Heidelberg

ISBN

978-3-319-74726-2

Book

Proceedings of 16th International Conference on Computer Aided Systems Theory

Edition

LNCS volume 10672

Pages from

38

Pages to

46

Pages count

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"
}