Corrections to and discussion of "implementation and evaluation of mixed-criticality scheduling approaches for sporadic tasks"

Tom Fleming, Huang Ming Huang, Alan Burns, Chris Gill, Sanjoy Baruah, Chenyang Lu

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

The AMC-IA mixed-criticality scheduling analysis was proposed as an improvement to the AMC-MAX adaptive mixed-criticality scheduling analysis. However, we have identified several necessary corrections to the AMC-IA analysis. In this article, we motivate and describe those corrections, and discuss and illustrate why the corrected AMC-IA analysis cannot be shown to outperform AMC-MAX.

Original languageEnglish
Article number77
JournalACM Transactions on Embedded Computing Systems
Volume16
Issue number3
DOIs
StatePublished - May 2017

Keywords

  • Adaptive mixed-criticality scheduling
  • Real-time systems

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