Formal Analysis of Predictable Data Flow in Fault-Tolerant Multicore Systems

Research output: Research - peer-reviewArticle in proceedings

  • Boris Madzar
    Boris MadzarQueen's University, KingstonCanada
  • Jalil Boudjadar
  • Juergen Dingel
    Juergen DingelQueen's University, KingstonCanada
  • Thomas Fuhrman
    Thomas FuhrmanGeneral Motors R&D, WarrenUnited States
  • Ramesh S
    Ramesh SGeneral Motors R&D, WarrenUnited States
The need to integrate large and complex functions into today’s vehicle electronic control systems requires high performance computing platforms, while at the same time the manufacturers try to reduce cost, power consumption and ensure safety. Traditionally, safety isolation and fault containment of software tasks have been achieved by either physically or temporally segregating them. This approach is reliable but inefficient in terms of processor utilization. Dynamic approaches that achieve better utilization without sacrificing safety isolation and fault containment appear to be of increasing interest. One of these approaches relies on predictable data flow introduced in PharOS and Giotto. In this paper, we extend the work on leveraging predictable data flow by addressing the problem of how the predictability of data flow can be proved formally for mixed criticality systems that run on multicore platforms and are subject to failures. We consider dynamic tasks where the timing attributes vary from one period to another. Our setting also allows for sporadic deadline overruns and accounts for criticality during fault handling. A user interface was created to allow automatic generation of the models as well as visualization of the analysis results, whereas predictability is verified using the Spin model checker.
Original languageEnglish
Title of host publicationFormal Aspects of Component Software
Number of pages19
PublisherSpringer Link
Publication year13 Apr 2017
StatePublished - 13 Apr 2017
Event13th International Conference on Formal Aspects of Component Software - Besancon, France
Duration: 19 Oct 201621 Oct 2016


Conference13th International Conference on Formal Aspects of Component Software
SeriesLecture Notes in Computer Science LNCS

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