mdh.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
Analyzing end-to-end delays in automotive systems at various levels of timing information
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1276-3609
Robert Bosch GmbH, Renningen, Germany.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
Show others and affiliations
2017 (English)In: ACM SIGBED Review, E-ISSN 1551-3688, Vol. 14, no 4, p. 8-13Article in journal (Refereed) Published
Abstract [en]

Software design for automotive systems is highly complex due to the presence of strict data age constraints for event chains in addition to task specific requirements. These age constraints define the maximum time for the propagation of data through an event chain consisting of independently triggered tasks. Tasks in event chains can have different periods, introducing over- and under-sampling effects, which additionally aggravates their timing analysis. Furthermore, different functionality in these systems, is developed by different suppliers before the final system integration on the ECU. The software itself is developed in a hardware agnostic manner and this uncertainty and limited information at the early design phases may not allow effective analysis of end-to-end delays during that phase. In this paper, we present a method to compute end-to-end delays given the information available in the design phases, thereby enabling timing analysis throughout the development process. The presented methods are evaluated with extensive experiments where the decreasing pessimism with increasing system information is shown.

Place, publisher, year, edition, pages
2017. Vol. 14, no 4, p. 8-13
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-41839DOI: 10.1145/3177803.3177805OAI: oai:DiVA.org:mdh-41839DiVA, id: diva2:1274048
Conference
4th International Workshop on Real-time Computing and Distributed Systems in Emergent Applications (REACTION 16)
Available from: 2018-12-27 Created: 2018-12-27 Last updated: 2018-12-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Becker, MatthiasMubeen, SaadBehnam, MorisNolte, Thomas

Search in DiVA

By author/editor
Becker, MatthiasMubeen, SaadBehnam, MorisNolte, Thomas
By organisation
Embedded Systems
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 25 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