Grouping Computational Data in Resource Caches of Edge-Fog Cloud

Edge-Fog clouds provide an attractive platform for bringing data processing closer to its source in a networked environment. In this paper we extend our work on Edge-Fog clouds and to an industrial automation scenario, where we show how grouping of computational data in resource caches lowers network traffic and shortens application-experienced latency. Our preliminary results are promising and in our future work we plan to evaluate more realistic scenarios and apply the solutions in real industrial automation cases.