Improving Industrial Computing Capacity with Fog Computing and Smart Systems

Fog computing, edge devices and cloud computing together can provide an impressive amount of resources for ongoing industrial projects by improving the utilization of existing edge resources. This paper will examine fog computing architecture, it's characteristics and its interoperability to edge computing and cloud computing. The aim is to investigate the essential knowledge necessary to support adoption of fog computing in challenging conditions which arise in smart factories and smart agriculture. The present work was motivated by recent developments in Artificial Intelligence indicating that there is great potential for the combination of fog computing and AI to maximize the potential of intelligent systems. This paper aims to present earlier findings which will support an undergoing research project concerning a novel generation of Artificial Intelligent Agents created to self-discover and orchestrate existing resources, actually present in industrial environments.