考虑算力-电热耦合的边缘数据中心能量优化管理OA

Growing user demand for computing power has spawned a large number of edge data center deployments,which have correspondingly increased energy costs and carbon emissions.In order to solve above problems,this paper presents an energy optimization management considering the coupling characteristics of computing power and electrothermal behaviors in edge data centers.Firstly,a collaborative energy management model is proposed,which integrates modules of task migration,battery power regulation,quality of service(QoS),renewable energy consumption and power management.A task migration strategy based on internal Central Processing Unit temperature sensing and computing power adjustment is designed to avoid overheating and task blocking.Secondly,an optimization problem is formulated to minimize the long-term operating cost of edge data centers.Lastly,leveraging the Lyapunov optimization algorithm,the aforementioned issues are transformed into short-term online optimization problems.Simulation analysis demonstrates that the proposed method can effectively reduce the overall operational costs while ensuring long-term stable operation.