چکیده

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.

کليدواژه ها

Fog Computing Optimization Cuckoo Evolutionary Algorithm Collaboration in Fog Layer.

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علی فانیان , 1400 , استفاده از الگوریتم فاخته برای بهینه سازی زمان پاسخ و هزینه مصرف انرژی نود های مه با در نظر گرفتن همکاری در لایه مه , پنجمين دوره كنفرانس بین‌المللی اينترنت اشيا و كاربردها