Abstract
Cloud computing and cloud storage systems are being used more and more in a variety of domains, from everyday user applications like healthcare monitoring systems and intelligent buildings to military devices. The deployment of these frameworks also enables modern control and automation paradigms found in cyber-physical systems and Industry 4.0. Driven by exponential decreases in computing and storage costs along with high bandwidth, low-latency communication networks, cloud-based infrastructures have increasingly been adopted in large-scale industrial applications. Our paper proposes hierarchical or key-value databases for systems that gather a very big number of data items from a variety of sensors, with focus on smart building and smart city scenarios. We discuss GT.M as a key-value database engine, optimized for transaction processing with a very high throughput. Results of a simulation-based study comparing hierarchical and relational database performance for several types of operations are presented.
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