Affiliation:
1. TU München, München, Germany
2. Siemens AG, München, Germany
Abstract
In the industrial Internet of Things domain, applications are moving from the Cloud into the Edge, closer to the devices producing and consuming data. This means that applications move from the scalable and homogeneous Cloud environment into a potentially constrained heterogeneous Edge network. Making Edge applications reliable enough to fulfill Industry 4.0 use cases remains an open research challenge. Maintaining operation of an Edge system requires advanced management techniques to mitigate the failure of devices. This article tackles this challenge with a twofold approach: (1) a policy-enabled failure detector that enables adaptable failure detection and (2) an allocation component for the efficient selection of failure mitigation actions. The parameters and performance of the failure detection approach are evaluated, and the performance of an energy-efficient allocation technique is measured. Finally, a vision for a complete system and an example use case are presented.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications
Cited by
9 articles.
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1. Proactive self‐healing techniques for cloud computing: A systematic review;Concurrency and Computation: Practice and Experience;2024-08-19
2. Problem Detection in the Edge of IoT Applications;International Journal of Interactive Multimedia and Artificial Intelligence;2023
3. A Survey on Resilience in the IoT;ACM Computing Surveys;2022-09-30
4. Self-Healing in Web Service-Based Systems Using QoS;International Journal of Technology Diffusion;2022-08-05
5. Evaluation of IoT self-healing mechanisms using fault-injection in message brokers;Proceedings of the 4th International Workshop on Software Engineering Research and Practice for the IoT;2022-05-19