Statistical Model Checking of Processor Systems in Various Interrupt Scenarios

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130708" target="_blank" >RIV/00216305:26230/18:PU130708 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-03421-4_26" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-03421-4_26</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-03421-4_26" target="_blank" >10.1007/978-3-030-03421-4_26</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical Model Checking of Processor Systems in Various Interrupt Scenarios

Popis výsledku v původním jazyce

Many practical, especially real-time, systems are expected to be predictable under various sources of unpredictability. To cope with the expectation, a system must be modeled and analyzed precisely for various operating conditions. This represents a problem that  grows with the dynamics of the system and that must be, typically, solved before the system starts to operate.  Due to the general complexity of the problem, this paper focuses just to processor based systems with interruptible executions. Their predictability analysis becomes more difficult especially when interrupts may occur at arbitrary times, suffer from arrival and servicing jitters, are subject to priorities, or may be nested and un/masked at run-time. Such a behavior of interrupts and executions has stochastic aspects and leads to the explosion of the number of situations to be considered.  To cope with such a behavior, we propose a simulation model that relies on a network of stochastic timed automata and involves the above-mentioned behavioral aspects related to  interrupts and executions. For a system, modeled by means of the automata, we show that the problem of analyzing its predictability may be efficiently solved by means of the statistical model checking.

Název v anglickém jazyce

Statistical Model Checking of Processor Systems in Various Interrupt Scenarios

Popis výsledku anglicky

Many practical, especially real-time, systems are expected to be predictable under various sources of unpredictability. To cope with the expectation, a system must be modeled and analyzed precisely for various operating conditions. This represents a problem that  grows with the dynamics of the system and that must be, typically, solved before the system starts to operate.  Due to the general complexity of the problem, this paper focuses just to processor based systems with interruptible executions. Their predictability analysis becomes more difficult especially when interrupts may occur at arbitrary times, suffer from arrival and servicing jitters, are subject to priorities, or may be nested and un/masked at run-time. Such a behavior of interrupts and executions has stochastic aspects and leads to the explosion of the number of situations to be considered.  To cope with such a behavior, we propose a simulation model that relies on a network of stochastic timed automata and involves the above-mentioned behavioral aspects related to  interrupts and executions. For a system, modeled by means of the automata, we show that the problem of analyzing its predictability may be efficiently solved by means of the statistical model checking.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation (ISoLA)

ISBN

—

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

16

Strana od-do

414-429

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Limassol

Datum konání akce

5. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—