Reliability-driven deployment optimization for embedded systems

J 2011

Reliability-driven deployment optimization for embedded systems

MEEDENIYA, Indika; Barbora BÜHNOVÁ; Aldeida ALETI and Lars GRUNSKE

Basic information

Original name

Reliability-driven deployment optimization for embedded systems

Authors

MEEDENIYA, Indika (144 Sri Lanka); Barbora BÜHNOVÁ (203 Czech Republic, guarantor, belonging to the institution); Aldeida ALETI (8 Albania) and Lars GRUNSKE (276 Germany)

Edition

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

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Netherlands

Confidentiality degree

is not subject to a state or trade secret

Impact factor

Impact factor: 0.836

RIV identification code

RIV/00216224:14330/11:00053930

Organization unit

Faculty of Informatics

UT WoS

000289179300011

Keywords in English

Reliability evaluation; Optimization; Embedded systems; System deployment

Abstract

In the original language

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.

Links

LA09016, research and development project

Name: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM) (Acronym: ERCIM)

Investor: Ministry of Education, Youth and Sports of the CR, Czech Republic membership in the European Research Consortium for Informatics and Mathematics

Cite

MEEDENIYA, Indika; Barbora BÜHNOVÁ; Aldeida ALETI and Lars GRUNSKE. Reliability-driven deployment optimization for embedded systems. Journal of Systems and Software. ELSEVIER, 2011, vol. 84, No 5, p. 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 and Lars GRUNSKE. Reliability-driven deployment optimization for embedded systems. \textit{Journal of Systems and Software}. ELSEVIER, 2011, vol.~84, No~5, p.~835-846. ISSN~0164-1212.

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