Reliability-driven deployment optimization for embedded systems

J 2011

Reliability-driven deployment optimization for embedded systems

MEEDENIYA, Indika, Barbora BÜHNOVÁ, Aldeida ALETI a Lars GRUNSKE

Základní údaje

Originální název

Reliability-driven deployment optimization for embedded systems

Autoři

MEEDENIYA, Indika (144 Šrí Lanka), Barbora BÜHNOVÁ (203 Česká republika, garant, domácí), Aldeida ALETI (8 Albánie) a Lars GRUNSKE (276 Německo)

Vydání

Journal of Systems and Software, ELSEVIER, 2011, 0164-1212

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 0.836

Kód RIV

RIV/00216224:14330/11:00053930

Organizační jednotka

Fakulta informatiky

UT WoS

000289179300011

Klíčová slova anglicky

Reliability evaluation; Optimization; Embedded systems; System deployment

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 15. 11. 2011 14:04, doc. Ing. RNDr. Barbora Bühnová, Ph.D.

Anotace

V originále

One of the crucial aspects that influence reliability of embedded systems is the deployment of software components to hardware nodes. If the hardware architecture is designed prior to the customized software architecture, which is often the case in product-line manufacturing (e.g. in the automotive domain), the system architect needs to resolve a nontrivial task of finding a (near-)optimal deployment balancing the reliabilities of individual services implemented on the software level.In this paper, we introduce an approach to automate this task. As distinct to related approaches, which typically stay with quantification of reliability for a specific deployment, we target multi-criteria optimization and provide the architect with near-optimal (non-dominated) deployment alternatives with respect to service reliabilities. Toward this goal, we annotate the software and hardware architecture with necessary reliability-relevant attributes, design a method to quantify the quality of individual deployment alternatives, and implement the approach employing an evolutionary algorithm.

Návaznosti

LA09016, projekt VaV

Název: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM) (Akronym: ERCIM)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Účast ČR v European Research Consortium for Informatics and Mathematics

Citovat

MEEDENIYA, Indika, Barbora BÜHNOVÁ, Aldeida ALETI a Lars GRUNSKE. Reliability-driven deployment optimization for embedded systems. Journal of Systems and Software. ELSEVIER, 2011, roč. 84, č. 5, s. 835-846. ISSN 0164-1212.

@article{958099,
   author = {Meedeniya, Indika and Bühnová, Barbora and Aleti, Aldeida and Grunske, Lars},
   article_number = {5},
   keywords = {Reliability evaluation; Optimization; Embedded systems; System deployment},
   language = {eng},
   issn = {0164-1212},
   journal = {Journal of Systems and Software},
   title = {Reliability-driven deployment optimization for embedded systems},
   volume = {84},
   year = {2011}
}

TY  - JOUR
ID  - 958099
AU  - Meedeniya, Indika - Bühnová, Barbora - Aleti, Aldeida - Grunske, Lars
PY  - 2011
TI  - Reliability-driven deployment optimization for embedded systems
JF  - Journal of Systems and Software
VL  - 84
IS  - 5
SP  - 835-846
EP  - 835-846
PB  - ELSEVIER
SN  - 01641212
KW  - Reliability evaluation
KW  - Optimization
KW  - Embedded systems
KW  - System deployment
N2  - One of the crucial aspects that influence reliability of embedded systems is the deployment of software components to hardware nodes. If the hardware architecture is designed prior to the customized software architecture, which is often the case in product-line manufacturing (e.g. in the automotive domain), the system architect needs to resolve a nontrivial task of finding a (near-)optimal deployment balancing the reliabilities of individual services implemented on the software level.In this paper, we introduce an approach to automate this task. As distinct to related approaches, which typically stay with quantification of reliability for a specific deployment, we target multi-criteria optimization and provide the architect with near-optimal (non-dominated) deployment alternatives with respect to service reliabilities. Toward this goal, we annotate the software and hardware architecture with necessary reliability-relevant attributes, design a method to quantify the quality of individual deployment alternatives, and implement the approach employing an evolutionary algorithm.
ER  -

MEEDENIYA, Indika, Barbora BÜHNOVÁ, Aldeida ALETI a Lars GRUNSKE. Reliability-driven deployment optimization for embedded systems. \textit{Journal of Systems and Software}. ELSEVIER, 2011, roč.~84, č.~5, s.~835-846. ISSN~0164-1212.

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