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In the cloud computing environment, consider how to achieve efficient task scheduling, improve user satisfaction, and reduce task response time and time span. Consider energy consumption saving factors and users This paper also considers how to reduce the energy consumption in the scheduling process and improve the time and service quality of users. The specific research objectives of this paper are as follows. (1) To design an improved resource scheduling algorithm for efficient resource scheduling process in cloud environment for the purpose of reducing the response time and time span of tasks. (2) Propose an energy-efficient resource scheduling algorithm to reduce energy consumption in the scheduling process of cloud computing. An energy-efficient resource scheduling algorithm is proposed to reduce the energy consumption in the scheduling process and achieve load balancing. First, we surveyed the literature related to the resource scheduling problem in the cloud environment and summarized and analyzed the application scenarios and performance advantages and disadvantages of existing scheduling strategies; based on the research results, we divided into two subtopics: research on efficient resource scheduling algorithms under different scenarios and research on energy-efficient resource scheduling algorithms in the cloud environment. The research focus under different sub-topics is clarified; mathematical modeling is performed and scheduling algorithms are designed according to the research problems under the sub-topics; then the advantages and disadvantages of the algorithms are analyzed theoretically; finally, a simulation environment is constructed, and the performance of the proposed algorithms is verified through simulation and compared with existing cloud scheduling algorithms in the same application scenarios.
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