Publication Details

RODES: A Robust-Design Synthesis Tool for Probabilistic Systems

ČEŠKA, M.; CALINESCU, R.; GERASIMOU, S.; KWIATKOWSKA, M.; PAOLETTI, N. RODES: A Robust-Design Synthesis Tool for Probabilistic Systems. In Proceedings of 14th International Conference on Quantitative Evaluation of SysTems. Heidelberg: Springer Verlag, 2017. p. 304-308. ISBN: 978-3-319-66335-7.
Czech title
RODES: Nástroj pro syntézu robustních pravděpodobnostních systémů
Type
conference paper
Language
English
Authors
Češka Milan, doc. RNDr., Ph.D. (DITS)
Calinescu Radu (FIT)
Gerasimou Simos (FIT)
Kwiatkowska Marta (FIT)
Paoletti Nicola (FIT)
Keywords

design automation, probabilistic systems, robustness sensitivity and tolerance Pareto-optimality

Abstract

We introduce RODES - a tool for the synthesis of probabilistic systems that satisfy strict reliability and performance requirements, are Pareto-optimal with respect to a set of optimisation objectives, and are robust to variations in the system parameters. Given the design space of a system (modelled as a parametric continuous-time Markov chain), RODES generates system designs with low sensitivity to required tolerance levels for the system parameters. As such, RODES can be used to identify and compare robust designs across a wide range of Pareto-optimal tradeoffs between the system optimisation objectives.

Published
2017
Pages
304–308
Proceedings
Proceedings of 14th International Conference on Quantitative Evaluation of SysTems
ISBN
978-3-319-66335-7
Publisher
Springer Verlag
Place
Heidelberg
DOI
10.1007/978-3-319-66335-7_20
UT WoS
000696692800020
EID Scopus
2-s2.0-85028652934
BibTeX 
@inproceedings{BUT146263,
  author="Milan {Češka} and Radu {Calinescu} and Simos {Gerasimou} and Marta {Kwiatkowska} and Nicola {Paoletti}",
  title="RODES: A Robust-Design Synthesis Tool for Probabilistic Systems",
  booktitle="Proceedings of 14th International Conference on Quantitative Evaluation of SysTems",
  year="2017",
  pages="304--308",
  publisher="Springer Verlag",
  address="Heidelberg",
  doi="10.1007/978-3-319-66335-7\{_}20",
  isbn="978-3-319-66335-7"
}
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