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Analyzing End-to-End Delays in Automotive Systems at Various Levels of Timing Information
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1276-3609
Research and Technology Centre, Robert Bosch, India.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-3242-6113
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1687-930X
Vise andre og tillknytning
2016 (engelsk)Inngår i: IEEE 4th International Workshop on Real-Time Computing and Distributed systems in Emerging Applications REACTION'16, Porto, Portugal, 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Porto, Portugal, 2016.
Emneord [en]
Multi-Rate Effect ChainsReal-TimeAutomotiveAnalysis
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-34074OAI: oai:DiVA.org:mdh-34074DiVA, id: diva2:1056892
Konferanse
IEEE 4th International Workshop on Real-Time Computing and Distributed systems in Emerging Applications REACTION'16, 29 Nov 2016, Porto, Portugal
Prosjekter
PREMISE - Predictable Multicore SystemsDPAC - Dependable Platforms for Autonomous systems and ControlPreView: Developing Predictable Vehicle Software on Multi-coreTilgjengelig fra: 2016-12-15 Laget: 2016-12-13 Sist oppdatert: 2017-10-17bibliografisk kontrollert

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