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.

中文翻译：

---

最佳自我修复物联网编排

在工业物联网领域，应用程序正在从云端移动到边缘，更靠近生产和消费数据的设备。这意味着应用程序从可扩展的同构云环境转移到可能受限的异构边缘网络。使边缘应用程序足够可靠以实现工业 4.0 用例仍然是一个开放的研究挑战。维持边缘系统的运行需要先进的管理技术来减轻设备故障。本文采用双重方法应对这一挑战：(1) 启用策略的故障检测器，可实现自适应故障检测；(2) 用于有效选择故障缓解措施的分配组件。评估故障检测方法的参数和性能，并测量节能分配技术的性能。最后，提出了一个完整系统的愿景和一个示例用例。