Using the Cuckoo Algorithm to Optimizing the Response Time and Energy Consumption Cost of Fog Nodes by Considering Collaboration in the Fog Layer

With the growth of the Internet of Things (IoT) technology, Fog computing has moved the processing capability of generated data near IoT devices and objects. Therefore, fog nodes able to reduce the response time to high volumes of generated data. As fog nodes extend from the edge of the network to the cloud, their cooperation in workload processing can lighten processing queues and further reduce response time. On the other hand, by increasing processing data in fog nodes, the fog layer’s energy consumption cost is increased. Therefore, to investigate this issue, in this paper, an optimization problem for collaboration between fog nodes is presented to reduce the response time and energy consumption cost. In this work, the goal is to make a balance between these two parameters. Then, the proposed problem is solved using the Cuckoo evolutionary algorithm. The evaluation results show that the proposed solution in solving the problem has been able to have significant impacts in reducing response time and energy consumption cost compared to competing works.