Re-Thinking Mixed-Criticality Architecture for Automotive Industry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published copy (DOI)



Publication details

Title of host publicationProceedings - 2020 IEEE 38th International Conference on Computer Design, ICCD 2020
DatePublished - Oct 2020
Number of pages8
PublisherInstitute of Electrical and Electronics Engineers Inc.
Original languageEnglish
ISBN (Electronic)9781728197104

Publication series

NameProceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
ISSN (Print)1063-6404


Mixed-Criticality System (MCS) has been considered widely within academic literature, but is proving difficulty to implement in industry as the theoretical models underpinning the research do not always consider industrial safety standards and practice (e.g., DO-178C, ISO26262, and EN50128). This paper analyses and formalises the mismatches between theoretical models and industrial standards, and presents a generic industrial MCS architecture, termed as Z-MCS. Z-MCS is built upon the conventional theoretical MCS model (i.e., Adaptive Mixed-Criticality), but with additional satisfaction on the industrial safety requirements: i). run-time safety analysis, which determines preserved applications in each system mode; ii). correct partitioning and isolation of different critical elements with temporal, spatial and fault isolation. Furthermore, three implementing methods of Z-MCS are proposed, with a generic schedulability analysis for timing guarantee. Finally, we evaluate and demonstrate Z-MCS in terms of system schedulability and overheads, along with a real-world case study. In addition, this paper is the first attempt for connecting the theoretical MCS model with the industrial context.

    Research areas

  • Automotive, Functional Safety, Mixed criticality Systems, System Architecture

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