On Dependability Assessment of Fault Tolerant Systems by Means of Statistical Model Checking

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126394" target="_blank" >RIV/00216305:26230/17:PU126394 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/research/publication/11365/" target="_blank" >https://www.fit.vut.cz/research/publication/11365/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DSD.2017.12" target="_blank" >10.1109/DSD.2017.12</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On Dependability Assessment of Fault Tolerant Systems by Means of Statistical Model Checking

Popis výsledku v původním jazyce

The problem of dependability assessment can be solved analytically just under predefined conditions. If they do not hold, alternative approaches must apply. Widely, they rely on the Monte Carlo simulation, suffering by the high computational complexity. Some rest on further instruments such as probabilistic timed automata that have been shown to be efficient to solve problems in various areas. However, more general as well as precise and faster instruments such as stochastic timed automata (STA) and statistical model checking (SMC) are available for the same purpose the moment. In the paper, basic terms and principles behind the construction of reliability models and dependability assessment on the STA/SMC basis are summarized, followed by a demonstration of their practical applicability in the area of non-repairable systems. Our main goal is to show that, instruments of STA/SMC can facilitate the dependability assessment process even in adverse conditions such as presence of multiple faults of various parameters.

Název v anglickém jazyce

On Dependability Assessment of Fault Tolerant Systems by Means of Statistical Model Checking

Popis výsledku anglicky

The problem of dependability assessment can be solved analytically just under predefined conditions. If they do not hold, alternative approaches must apply. Widely, they rely on the Monte Carlo simulation, suffering by the high computational complexity. Some rest on further instruments such as probabilistic timed automata that have been shown to be efficient to solve problems in various areas. However, more general as well as precise and faster instruments such as stochastic timed automata (STA) and statistical model checking (SMC) are available for the same purpose the moment. In the paper, basic terms and principles behind the construction of reliability models and dependability assessment on the STA/SMC basis are summarized, followed by a demonstration of their practical applicability in the area of non-repairable systems. Our main goal is to show that, instruments of STA/SMC can facilitate the dependability assessment process even in adverse conditions such as presence of multiple faults of various parameters.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

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

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2017 20th Euromicro Conference on Digital System Design

ISBN

978-1-5386-2146-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

352-355

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Vídeň

Datum konání akce

30. 8. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000427097100049