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A Novel Resource Productivity Based on Granular Neural Network in Cloud Computing
In recent years, due to the growing demand for computational resources, particularly in cloud computing systems, the data centers' energy consumption is continually increasing, which directly causes price rise and reductions of resources' productivity. Although many energy-aware approaches attempt to minimize the consumption of energy, they cannot minimize the violation of service-level agreements at the same time. In this paper, we propose a method using a granular neural network, which isdoi:10.1155/2021/5556378 fatcat:cfl5qhrxxjc5tmwcbxe7ikisxa