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Predictability Analysis of Interruptible Systems by Statistical Model Checking

STRNADEL Josef. Predictability Analysis of Interruptible Systems by Statistical Model Checking. IEEE Design & Test, vol. 35, no. 2, pp. 57-63. ISSN 2168-2356. Available from: http://ieeexplore.ieee.org/document/8082475/
Czech title
Analýza předvídatelnosti přerušitelných systémů pomocí statického ověřování modelů
Type
journal article
Language
english
Authors
URL
Keywords
Processors, Real-time systems, Interrupts, Predictability, Analytical models,  Predictive models,  Stacking,  Statistical model checking,  Stochastic processes,  Timed automata, Priced automata, Computational modeling
Abstract
Many systems must be predictable under various sources of unpredictability. To meet this, a system must be modeled and analyzed precisely under various scenarios, which is a problem that grows with the dynamics of the system. To cope with it, we propose a simulation model that relies on a network of stochastic timed automata. Its novelty lies in combining models of the interrupt subsystem, interrupt sources and their interrupt service routines with features such as priorities, masking of interrupt requests and nesting of interrupt service routines at run-time. The analysis of such a model benefits from the statistical model checking.
Published
2018
Pages
57-63
Journal
IEEE Design & Test, vol. 35, no. 2, ISSN 2168-2356
Publisher
IEEE Circuits and Systems Society
DOI
BibTeX
@ARTICLE{FITPUB11363,
   author = "Josef Strnadel",
   title = "Predictability Analysis of Interruptible Systems by Statistical Model Checking",
   pages = "57--63",
   journal = "IEEE Design \& Test",
   volume = 35,
   number = 2,
   year = 2018,
   ISSN = "2168-2356",
   doi = "10.1109/MDAT.2017.2766568",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11363"
}
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