Abstract
As a new paradigm, smart cities face many issues such as huge volumes of data and limited time for processing. To meet these challenges, fog computing via cooperation between servers from the network edge to the cloud is introduced. This can significantly reduce the response time, but also increase the amount of data in the fog layer and thus energy costs. Therefore, a convex problem is introduced to minimize the response time and energy costs. This problem is solved via a Lagrangian Cooperation (LC) algorithm. Results are presented which show that the proposed LC algorithm provides better performance than existing approaches.
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