A Distributed Fault Tolerance Mechanism for an IoT Healthcare system

Zaiter, Meriem; Hacini, Salima

doi:10.1109/acit50332.2020.9300103

Cited by 2 publications

(2 citation statements)

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“…Han et al [44] introduced TRAK as a message-agnostic testing tool for injecting delays and provoke higher packet loss in Apache Kafka [23], thus asserting its QoS capabilities. Zaiter et al [47] presented a distributed fault-tolerance approach for e-health systems based on the exchange of messages between LACs (Local Controlling Agents), reducing the reliance on one global agent controller (GAC). Briland et al [9] explores faults where third-parties inject fabricated data and expect it to modify the system's behaviour over time; they propose a Domain-Specific Language (DSL) to generate altered data that can then be injected into the system to observe its behaviour.…”

Section: Related Workmentioning

confidence: 99%

“…This limits their usage in IoT due to the computational constraints of most entities. Finally, very few works use fault-injection to evaluate the behaviour of in-place fault-tolerance mechanisms [27,44,45,47]. This paper improves on existing work by (1) creating faults by semantically changing messages passed between different parts of the system, (2) providing a DSL comprised of reactive operators 2 , (3) modifying a common middleware to target any MQTT-based system, and (4) designed to support in-place evaluation of fault-tolerance mechanisms.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

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

Duarte,

Dias,

Ferreira

et al. 2022

Preprint

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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 faulttolerance 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. CCS CONCEPTS• Computer systems organization → Sensors and actuators; Reliability; Distributed architectures; • Software and its engineering → Software testing and debugging.

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Section: Related Workmentioning

confidence: 99%