ATMP-CA: Optimising Mixed-Criticality Systems Considering Criticality Arithmetic

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ID: 271495
2021
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Abstract
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.
Reference Key
fadlelseed2021electronicsatmp-ca: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sajid Fadlelseed;Raimund Kirner;Catherine Menon;Fadlelseed, Sajid;Kirner, Raimund;Menon, Catherine;
Journal Electronics
Year 2021
DOI
10.3390/electronics10111352
URL
https://www.mdpi.com/2079-9292/10/11/1352
Keywords
scheduling real-time systems safety integrity level mixed-criticality

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