Research On Energy-conscious Scheduling Of Cloud Computing Structure

In recent years,with the continuous development of high-density computer architectures,multi-core processors and cloud computing systems have gradually replaced single-core processors and stand-alone systems.Research on distributed architecture scheduling methods has greatly improved the processing of computing systems.ability.However,for a long time,academic research on the scheduling strategy of multi-core processors and cloud computing systems has focused on how to increase the load and reduce the running time of the program,but there is a lack of attention to energy consumption.With the gradual deepening of research on multi-core processor and cloud computing system scheduling strategies,computing systems have been able to make full use of hardware capabilities to meet industry demand.At the same time,as the demand for cost control in the industry continues to increase,the focus of the academic community has gradually shifted to reducing the energy consumption of computing systems.The main work of this paper are listed below:1.Introduce the basic framework of cloud computing based on DVS(Dynamic Voltage Scaling)technology,and apply it to cloud computing based on this model.2.Based on the current cloud computing model,according to the experimental data of this paper,the optimal multi-core scheduling strategy is selected from a single computing center and multiple computing centers,energy consumption and profit.3.By expatiating on the shortcomings of ECS and ECS+idle algorithm,an improved algorithm has been designed to have a better energy-friendly scheduling strategy.4.For the actual situation of multiple computing centers,how to use the optimal scheduling strategy to maximize energy control and profit.