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A Fog Computing-based Method to Information and Control System Reliability Enhancement

Information and control systems form crucial components in high reliability mechatronic complexes such as oil rigs, air- and spacecrafts or power stations. In this paper, we present a novel reliability enhancement method based on fog computing concepts for such systems. The key idea of our method is to shift the computational workload from conventional computational units to the data sources i.e. sensors, actuators and communication devices. Our approach comprises three stages: search for general system constraints, configuration of the computational environment and configuration of the fog-layer devices. We give formal models and simulation results and demonstrate the advantages of using fog computing concepts for reliability functions.