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

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

Duarte, M (Author) Other; Dias, JP (Author) FEUP; Hugo Sereno Ferreira (Author) FEUP; André Restivo (Author) FEUP

Conference proceedings International

Title: 4th IEEE/ACM International Workshop on Software Engineering Research and Practices for the IoT, SERP4IoT@ICSE, Pittsburgh, PA, USA, May 19, 2022

Pages: 9-16

4th IEEE/ACM International Workshop on Software Engineering Research and Practice for the IoT, SERP4IoT 2022

19 May 2022

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 0 Citations

Other information

Authenticus ID: P-00W-APG

DOI: 10.1145/3528227.3528567

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8