Abstract
Cloud computing and the IoT are converging ever stronger, enabling the proliferation of diverse large-scale IoT cloud systems. Such novel IoT cloud systems offer numerous advantages for the variety of involved stakeholders. However, due to scale, complexity, and inherent geographical distribution of IoT cloud systems, governing new IoT cloud resources and capabilities poses numerous challenges. In this paper, we introduce GovOps – a novel approach and a conceptual model for cloud-based, dynamic governance of software-defined IoT cloud systems. By introducing a suitable GovOps reference model and a dedicated GovOps manager, it simplifies realizing governance processes and enables performing custom governance tasks more efficiently in practice. We introduce real-world case studies in the building automation and vehicle management domains, to illustrate the main aspects and principles of our approach to governance of large-scale software-defined IoT cloud systems.
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