Evaluation of IoT Self-healing Mechanisms using Fault-Injection in Message Brokers

The widespread use of Internet-of-Things (IoT) across different application domains leads to an increased concern regarding their dependability, especially as the number of potentially mission-critical systems becomes considerable. Fault-tolerance has been used to reduce the impact of faults in syst...

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Veröffentlicht in:Proceedings of the 4th International Workshop on Software Engineering Research and Practice for the IoT S. 9 - 16
Hauptverfasser: Duarte, Miguel, Dias, Joao Pedro, Ferreira, Hugo Sereno, Restivo, Andre
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: ACM 01.05.2022
Schlagworte:
dependability
Fault tolerance
Fault tolerant systems
fault-injection
Instruments
IoT
middleware
Mission critical systems
self-healing
Software systems
Switches
Visualization
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Zusammenfassung:The widespread use of Internet-of-Things (IoT) across different application domains leads to an increased concern regarding their dependability, especially as the number of potentially mission-critical systems becomes considerable. Fault-tolerance has been used to reduce the impact of faults in systems, and their adoption in IoT is becoming a necessity. This work focuses on how to exercise fault-tolerance mechanisms by deliberately provoking its malfunction. We start by describing a proof-of-concept fault-injection add-on to a commonly used publish/subscribe broker. We then present several experiments mimicking real-world IoT scenarios, focusing on injecting faults in systems with (and without) active self-healing mechanisms and comparing their behavior to the baseline without faults. We observe evidence that fault-injection can be used to (a) exercise in-place fault-tolerance apparatus, and (b) detect when these mechanisms are not performing nominally, providing insights into enhancing in-place fault-tolerance techniques.
DOI:10.1145/3528227.3528567