• Media type: E-Article
  • Title: ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic
  • Contributor: Fadlelseed, Sajid; Kirner, Raimund; Menon, Catherine
  • Published: MDPI AG, 2021
  • Published in: Electronics, 10 (2021) 11, Seite 1352
  • Language: English
  • DOI: 10.3390/electronics10111352
  • ISSN: 2079-9292
  • Origination:
  • Footnote:
  • Description: Many safety-critical systems use criticality arithmetic, an informal practice of implementing a higher-criticality function by combining several lower-criticality redundant components or tasks. This lowers the cost of development, but existing mixed-criticality schedulers may act incorrectly as they lack the knowledge that the lower-criticality tasks are operating together to implement a single higher-criticality function. In this paper, we propose a solution to this problem by presenting a mixed-criticality mid-term scheduler that considers where criticality arithmetic is used in the system. As this scheduler, which we term ATMP-CA, is a mid-term scheduler, it changes the configuration of the system when needed based on the recent history of deadline misses. We present the results from a series of experiments that show that ATMP-CA’s operation provides a smoother degradation of service compared with reference schedulers that do not consider the use of criticality arithmetic.
  • Access State: Open Access