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Description
  • We propose deterministic timed automata (DTA) as a model-independent language for specifying performance and dependability measures over continuous-time stochastic processes. Technically, these measures are dened as limit frequencies of locations (control states) of a DTA that observes computations of a given stochastic process. Then, we study the properties of DTA measures over semi-Markov processes in greater detail. We show that DTA measures over semi-Markov processes are well-defined with probability one, and there are only finitely many values that can be assumed by these measures with positive probability. We also give an algorithm which approximates these values and the associated probabilities up to an arbitrarily small given precision. Thus, we obtain a general and effective framework for analysing DTA measures over semi-Markov processes.
  • We propose deterministic timed automata (DTA) as a model-independent language for specifying performance and dependability measures over continuous-time stochastic processes. Technically, these measures are dened as limit frequencies of locations (control states) of a DTA that observes computations of a given stochastic process. Then, we study the properties of DTA measures over semi-Markov processes in greater detail. We show that DTA measures over semi-Markov processes are well-defined with probability one, and there are only finitely many values that can be assumed by these measures with positive probability. We also give an algorithm which approximates these values and the associated probabilities up to an arbitrarily small given precision. Thus, we obtain a general and effective framework for analysing DTA measures over semi-Markov processes. (en)
Title
  • Measuring Performance of Continuous-Time Stochastic Processes using Timed Automata
  • Measuring Performance of Continuous-Time Stochastic Processes using Timed Automata (en)
skos:prefLabel
  • Measuring Performance of Continuous-Time Stochastic Processes using Timed Automata
  • Measuring Performance of Continuous-Time Stochastic Processes using Timed Automata (en)
skos:notation
  • RIV/00216224:14330/11:00049786!RIV12-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0545), P(GD102/09/H042), P(GP201/08/P459), Z(MSM0021622419)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 211204
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/11:00049786
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • semi-Markov processes; timed automata (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B6DDF75BE7D1]
http://linked.open...v/mistoKonaniAkce
  • Chicago, IL, USA
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • HSCC 11: Proceedings of the 14th International Conference on Hybrid Systems: Computation and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Brázdil, Tomáš
  • Krčál, Jan
  • Kučera, Antonín
  • Křetínský, Jan
  • Řehák, Vojtěch
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000290062600005
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-4503-0629-4
http://localhost/t...ganizacniJednotka
  • 14330
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