Publication detail

Efficient Synthesis of Robust Models for Stochastic Systems

CALINESCU, R. ČEŠKA, M. GERASIMOU, S. KWIATKOWSKA, M. PAOLETTI, N.

Original Title

Efficient Synthesis of Robust Models for Stochastic Systems

Type

journal article in Web of Science

Language

English

Original Abstract

We describe a tool-supported method for the efficient synthesis of parametric continuous-time Markov chains (pCTMC) that correspond to robust designs of a system under development. The pCTMCs generated by our RObust DEsign Synthesis (RODES) method are resilient to changes in the systems operational profile, satisfy strict reliability, performance and other quality constraints, and are Pareto-optimal or nearly Pareto-optimal with respect to a set of quality optimisation criteria. By integrating sensitivity analysis at designer-specified tolerance levels and Pareto optimality, RODES produces designs that are potentially slightly suboptimal in return for less sensitivity-an acceptable trade-off in engineering practice. We demonstrate the effectiveness of our method and the efficiency of its GPU-accelerated tool support across multiple application domains by using RODES to design a producer-consumer system, a replicated file system and a workstation cluster system.

Keywords

Software performance and reliability engineering,  Probabilistic model synthesis,  Multi-objective optimisation,  Robust design

Authors

CALINESCU, R.; ČEŠKA, M.; GERASIMOU, S.; KWIATKOWSKA, M.; PAOLETTI, N.

Released

9. 5. 2018

Publisher

ELSEVIER SCIENCE INC

Location

NEW YORK

ISBN

0164-1212

Periodical

JOURNAL OF SYSTEMS AND SOFTWARE

Year of study

2018

Number

143

State

United States of America

Pages from

140

Pages to

158

Pages count

18

URL

https://doi.org/10.1016/j.jss.2018.05.013

BibTex

@article{BUT155049,
  author="Radu {Calinescu} and Milan {Češka} and Simos {Gerasimou} and Marta {Kwiatkowska} and Nicola {Paoletti}",
  title="Efficient Synthesis of Robust Models for Stochastic Systems",
  journal="JOURNAL OF SYSTEMS AND SOFTWARE",
  year="2018",
  volume="2018",
  number="143",
  pages="140--158",
  doi="10.1016/j.jss.2018.05.013",
  issn="0164-1212",
  url="https://doi.org/10.1016/j.jss.2018.05.013"
}