An Efficient Algorithm for Optimization of Service Locating in Fog Computing Architectures
In this paper, the optimizing of Fog computing service quality is addressed regarding the service locating using proposing an efficient algorithm. The cost, response time, and reliability parameters are used in the optimization process through three categories, sequential, conditional, and parallel. The multi-criteria decision-making process of this paper is performed by the multi-objective optimization programming method. The algorithm consists of Fog service selection based on the quality evaluation. Then, the cloud management system interacts with Fog nodes using cloud providers to improve the quality and priority of services that are chosen for a specific user request.
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