Consensual Resilient Control: Stateless Recovery of Stateful Controllers

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



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Aleksandar Matovic
  • Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg
Rafal Graczyk
  • Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg
Federico Lucchetti
  • Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg
Marcus Völp
  • Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg

Acknowledgements

Thanks to the anonymous reviewers and shepherd for their fruitful comments and suggestions how to improve this paper. A special thanks goes to Martina Maggio and to Filip Markovic for their helpful feedback and advice.

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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) https://doi.org/10.4230/LIPIcs.ECRTS.2023.14

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.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Computer systems organization → Embedded and cyber-physical systems
  • Computer systems organization → Dependable and fault-tolerant systems and networks
Keywords
  • resilience
  • control
  • replication

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