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Consensual Resilient Control: Stateless Recovery of Stateful Controllers

Authors: Aleksandar Matovic, Rafal Graczyk, Federico Lucchetti, and Marcus Völp

Published in: LIPIcs, Volume 262, 35th Euromicro Conference on Real-Time Systems (ECRTS 2023)


Abstract
Safety-critical systems have to absorb accidental and malicious faults to obtain high mean-times-to-failures (MTTFs). Traditionally, this is achieved through re-execution or replication. However, both techniques come with significant overheads, in particular when cold-start effects are considered. Such effects occur after replicas resume from checkpoints or from their initial state. This work aims at improving on the performance of control-task replication by leveraging an inherent stability of many plants to tolerate occasional control-task deadline misses and suggests masking faults just with a detection quorum. To make this possible, we have to eliminate cold-start effects to allow replicas to rejuvenate during each control cycle. We do so, by systematically turning stateful controllers into instants that can be recovered in a stateless manner. We highlight the mechanisms behind this transformation, how it achieves consensual resilient control, and demonstrate on the example of an inverted pendulum how accidental and maliciously-induced faults can be absorbed, even if control tasks run in less predictable environments.

Cite as

Aleksandar Matovic, Rafal Graczyk, Federico Lucchetti, and Marcus Völp. Consensual Resilient Control: Stateless Recovery of Stateful Controllers. In 35th Euromicro Conference on Real-Time Systems (ECRTS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 262, pp. 14:1-14:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@InProceedings{matovic_et_al:LIPIcs.ECRTS.2023.14,
  author =	{Matovic, Aleksandar and Graczyk, Rafal and Lucchetti, Federico and V\"{o}lp, Marcus},
  title =	{{Consensual Resilient Control: Stateless Recovery of Stateful Controllers}},
  booktitle =	{35th Euromicro Conference on Real-Time Systems (ECRTS 2023)},
  pages =	{14:1--14:27},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-280-8},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{262},
  editor =	{Papadopoulos, Alessandro V.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2023.14},
  URN =		{urn:nbn:de:0030-drops-180430},
  doi =		{10.4230/LIPIcs.ECRTS.2023.14},
  annote =	{Keywords: resilience, control, replication}
}
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