Architecture Adaptation Based on Belief Inaccuracy Estimation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10290559" target="_blank" >RIV/00216208:11320/14:10290559 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6827104" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6827104</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/WICSA.2014.20" target="_blank" >10.1109/WICSA.2014.20</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Architecture Adaptation Based on Belief Inaccuracy Estimation

Popis výsledku v původním jazyce

Cyber-physical systems (CPS) are systems of cooperating autonomous components which closely interact with and control the physical environment. Being distributed and typically based on periodic activities, CPS have to cope with the problem that data capturing a distributed state of the system and its environment are inherently inaccurate (they represent belief on the state). In particular, this poses a problem when dependability is being pursued. In this paper we address this issue by modeling belief at the architecture level. In particular, we enhance the architecture by models describing belief inaccuracy over time. We exploit these models to quantify at runtime the impact of belief staleness on its inaccuracy. We then use this quantification to drive architectural adaptation with the aim to increase dependability of the running CPS system.

Název v anglickém jazyce

Architecture Adaptation Based on Belief Inaccuracy Estimation

Popis výsledku anglicky

Cyber-physical systems (CPS) are systems of cooperating autonomous components which closely interact with and control the physical environment. Being distributed and typically based on periodic activities, CPS have to cope with the problem that data capturing a distributed state of the system and its environment are inherently inaccurate (they represent belief on the state). In particular, this poses a problem when dependability is being pursued. In this paper we address this issue by modeling belief at the architecture level. In particular, we enhance the architecture by models describing belief inaccuracy over time. We exploit these models to quantify at runtime the impact of belief staleness on its inaccuracy. We then use this quantification to drive architectural adaptation with the aim to increase dependability of the running CPS system.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/7E12045" target="_blank" >7E12045: Autonomic Service-Component Ensembles</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2014 IEEE/IFIP Conference on Software Architecture

ISBN

978-1-4799-3412-6

ISSN

—

e-ISSN

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Počet stran výsledku

4

Strana od-do

87-90

Název nakladatele

IEEE Computer Society

Místo vydání

Washington, DC, USA

Místo konání akce

Sydney, Australia

Datum konání akce

7. 4. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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