AdaptMC: A Control-Theoretic Approach for Achieving Resilience in Mixed-Criticality Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Author(s)

  • Alessandro Papadopoulos
  • Enrico Bini
  • Sanjoy Baruah
  • Alan Burns

Department/unit(s)

Publication details

Title of host publicationProceeding ECRTS Conference
DatePublished - 4 Jul 2018
Pages14:1-14:22
Number of pages22
PublisherLIPICS
Place of PublicationDagstuhl
EditorsSebastian Altmeyer
Original languageEnglish

Abstract

A system is said to be resilient if slight deviations from expected behavior during run-time does not lead to catastrophic degradation of performance: minor deviations should result in no more than minor performance degradation. In mixed-criticality systems, such degradation should additionally be criticality-cognizant. The applicability of control theory is explored for the design of resilient run-time scheduling algorithms for mixed-criticality systems. Recent results in control theory have shown how appropriately designed controllers can provide guaranteed service to hard- real-time servers; this prior work is extended to allow for such guarantees to be made concurrently to multiple criticality-cognizant servers. The applicability of this approach is explored via several experimental simulations in a dual-criticality setting. These experiments demonstrate that our control-based run-time schedulers can be synthesized in such a manner that bounded deviations from expected behavior result in the high-criticality server suffering no performance degradation and the lower-criticality one, bounded performance degradation.

    Research areas

  • Real-time

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