Abstract

Emerging IoT cloud systems create unified IoT cloud infrastructures that offer large pools of elastic resources, which need to be governed through their entire lifecycle. However, numerous uncertainties are inherently present in such infrastructures, mainly due to the novel interactions of IoT elements, network elements, cloud resources and humans. They pose a plethora of challenges for the governance of such IoT cloud systems. In this paper we introduce U-GovOps -- a novel framework for dynamic, on-demand governance of elastic IoT cloud systems under uncertainty. We introduce a declarative policy language to simplifythe development of uncertainty-and elasticity-aware governance strategies. Based on that we develop runtime mechanisms, which enable mitigating the uncertainties by monitoring and governing the IoT cloud systems through specified strategies. We evaluate our approach using a real-life case study in the domain of predictive maintenance.

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