https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Power-aware Allocation of Fault-tolerant Multi-rate AUTOSAR Applications
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5626-0587
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-4987-7669
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1384-5323
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Show others and affiliations
2018 (English)In: 25th Asia-Pacific Software Engineering Conference APSEC'18, 2018Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes an Integer Linear Programming optimization approach for the allocation of fault-tolerant embedded software applications that are developed using the AUTOSAR standard. The allocation takes into account the timing and reliability requirements of the multi-rate cause-effect chains in these applications and the heterogeneity of their execution platforms. The optimization objective is to minimize the total power consumption of the these applications that are distributed over more than one computing unit. The proposed approach is evaluated using a range of different software applications from the automotive domain, which are generated using the real-world automotive benchmark. The evaluation results indicate that the proposed allocation approach is effective and scalable while meeting the timing, reliability and power requirements in small- and medium-sized automotive software applications.

Place, publisher, year, edition, pages
2018.
Keywords [en]
autosar, software allocation, optimization, power consumption, distributed architecture, multi-rate systems, timing, reliability
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-43902DOI: 10.1109/APSEC.2018.00034ISI: 000474770300021Scopus ID: 2-s2.0-85066797560OAI: oai:DiVA.org:mdh-43902DiVA, id: diva2:1325011
Conference
25th Asia-Pacific Software Engineering Conference APSEC'18, 04 Dec 2018, Nara, Japan
Projects
VeriSpec - Structured Specification and Automated Verification for Automotive Functional SafetyDPAC - Dependable Platforms for Autonomous systems and ControlAvailable from: 2019-06-14 Created: 2019-06-14 Last updated: 2019-10-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Mahmud, NesredinRodriguez-Navas, GuillermoFaragardi, Hamid RezaMubeen, SaadSeceleanu, Cristina

Search in DiVA

By author/editor
Mahmud, NesredinRodriguez-Navas, GuillermoFaragardi, Hamid RezaMubeen, SaadSeceleanu, Cristina
By organisation
Embedded Systems
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 80 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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