Predictability Analysis of Interruptible Systems by Statistical Model Checking

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU127536" target="_blank" >RIV/00216305:26230/18:PU127536 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/8082475/" target="_blank" >http://ieeexplore.ieee.org/document/8082475/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MDAT.2017.2766568" target="_blank" >10.1109/MDAT.2017.2766568</a>

Result language
angličtina
Original language name
Predictability Analysis of Interruptible Systems by Statistical Model Checking
Original language description
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.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20206 - Computer hardware and architecture

Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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