License: Creative Commons Attribution 3.0 Germany license (CC BY 3.0 DE)
When quoting this document, please refer to the following
DOI: 10.4230/DARTS.4.2.1
URN: urn:nbn:de:0030-drops-89691
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8969/
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Papadopoulos, Alessandro Vittorio ; Bini, Enrico ; Baruah, Sanjoy ; Burns, Alan

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

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DARTS-4-2-1.pdf (0.3 MB)

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.

BibTeX - Entry

@Article{papadopoulos_et_al:DARTS:2018:8969,
  author =	{Alessandro Vittorio Papadopoulos and Enrico Bini and Sanjoy Baruah and Alan Burns},
  title =	{{AdaptMC: A Control-Theoretic Approach for Achieving Resilience in Mixed-Criticality Systems (Artifact)}},
  pages =	{1:1--1:3},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2018},
  volume =	{4},
  number =	{2},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/8969},
  URN =		{urn:nbn:de:0030-drops-89691},
  doi =		{10.4230/DARTS.4.2.1},
  annote =	{Keywords: mixed criticality, control theory, run-time resilience, bounded overloads}
}

Keywords: mixed criticality, control theory, run-time resilience, bounded overloads
Collection: DARTS, Volume 4, Issue 2
Related Scholarly Article: http://dx.doi.org/10.4230/LIPIcs.ECRTS.2018.14
Issue Date: 2018
Date of publication: 20.06.2018

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