Efficient green solution for a balanced energy consumption and delay in the IoT-Fog-Cloud computing

This paper introduces a study of the fog computing suitability assessment as a solution for the increasing demand of the IoT devices. In particular, we focus on the energy consumption and the Quality of Service (QoS) as two important metrics of the performance of the fog. Therefore, we present a modeling of these two metrics in the fog. Then, we express the problem as constrained optimization and solve it efficiently using Evolutionary Algorithms (EA). Our approach stands out as an energy-efficient solution.