Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Design-Space Reduction for Architectural Optimization of Automotive Embedded Systems
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.). (RTC)ORCID iD: 0000-0003-2649-5921
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-5703-5923
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-7048-0108
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0002-4300-885X
2015 (English)In: High Performance Computing and Communications (HPCC), 2015 IEEE 7th International Symposium on Cyberspace Safety and Security (CSS), 2015 IEEE 12th International Conferen on Embedded Software and Systems (ICESS), 2015 IEEE 17th International Conference on, IEEE Computer Society, 2015, , 7 p.1103-1109 p.Conference paper, Published paper (Refereed)
Abstract [en]

A key decision for the synthesis of automotiveembedded systems is the allocation of application softwarecomponents to ECUs. Design Space Exploration (DSE) supportsthe decision by automatically characterizing and evaluating alarge number of possible design alternatives, and thereby suggestingthe optimal ones. A primary challenge for applying DSEmethods to support this decision is to reduce the computationtime of the DSE process while maintaining the generality andoptimality. This paper exploits legacy system architectures andthe AUTOSAR standard to preemptively reduce the design space,because both artifacts limit the flexibility of certain designvariables. A new DES formulation incorporating the constraintsof the legacy system architectures and the AUTOSAR standardis proposed in this paper. Computation result shows a largereduction of the computation time comparing to traditionalmodeling and formulations. The scalability of our method is alsoanalyzed by testing it on a set of random problem instances.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015. , 7 p.1103-1109 p.
National Category
Embedded Systems
Research subject
Industrial Engineering and Management
Identifiers
URN: urn:nbn:se:kth:diva-177585DOI: 10.1109/HPCC-CSS-ICESS.2015.298ISI: 000380408100182Scopus ID: 2-s2.0-84961717465OAI: oai:DiVA.org:kth-177585DiVA: diva2:873466
Conference
IEEE 12th International Conference on Embedded Softwareand Systems (ICESS), New York, August 24-26
Note

QC 20151201

Available from: 2015-11-24 Created: 2015-11-24 Last updated: 2016-09-05Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopusIEEEXplore

Authority records BETA

Zhang, XinhaiFeng, LeiChen, De-JiuTörngren, Martin

Search in DiVA

By author/editor
Zhang, XinhaiFeng, LeiChen, De-JiuTörngren, Martin
By organisation
Machine Design (Dept.)Mechatronics
Embedded Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 91 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf