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.
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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
Original 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
Tags International impact, Reviewed
Changed by Changed by: doc. Ing. RNDr. Barbora Bühnová, Ph.D., učo 39394. Changed: 15/11/2011 14:04.
Abstract
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 projectName: 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
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