Application of Operational Research in Green Computing of Cloud Host

the article focuses on the topic of low usage and significant energy waste in cloud host. It proposes the demand to intelligently improve the cloud resource usage and enhance the digital closed-loop control levels in the context of business growth and the dual carbon initiative. Thanks to the current virtualization technology supporting live migration and data collection abilities, it also requires an end-to-end and automatic decision-making solution to simultaneously optimize multi-objects with multi-resources utilization. Therefore, it is necessary to study the global optimization issue by considering various factors such as resources, energy consumption, and balance to achieve the goal of energy and maintenance efficiency in a green cloud computing system. The practical results show that the method of the system can release approximately 20.8%-23% hosts and increase CPU resource utilization by 42%.