Time-triggered implementations of mixed-criticality automotive software

  • Authors:
  • Dip Goswami;Martin Lukasiewycz;Reinhard Schneider;Samarjit Chakraborty

  • Affiliations:
  • TU Munich, Germany;TUM CREATE, Singapore;Institute for Real-Time Computer Systems, TU Munich, Germany;Institute for Real-Time Computer Systems, TU Munich, Germany

  • Venue:
  • DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2012

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Abstract

We present an automatic schedule synthesis framework for applications that are mapped onto distributed time-triggered automotive platforms where multiple Electronic Control Units (ECUs) are synchronized over a FlexRay bus. We classify applications into two categories (i) safety-critical control applications with stability and performance constraints, and (ii) time-critical applications with only deadline constraints. Our proposed framework can handle such mixed constraints arising from timing, control stability, and performance requirements. In particular, we synthesize schedules that optimize control performance and respects the timing requirements of the real-time applications. An Integer Linear Programming (ILP) problem is formulated by modeling the ECU and bus schedules as a set of constraints for optimizing both linear or quadratic control performance functions.