面向云边协同安全防护的边缘侧通算资源自适应调配方法OA

In recent years,the large-scale access of a large number of new power distribution services such as distributed power generation,electric vehicles,and flexible load control has led to a sharp increase in the operating pressure of the power cloud master station.To this end,an adaptive resource allocation method for edge-side general computing resources for cloud-edge collaborative security protection was proposed.Firstly,considering the computing resources available to multiple edge substations,a cloud-edge collaborative relay business security protection model was constructed.Then,with the goal of minimizing the operating pressure of the maximum cloud master,the corresponding linear programming problem was established,and finally the Karush-Kuhn-Tucker(KKT)was used to solve it quickly.The simulation results show that the proposed method can effectively reduce the operation pressure of the cloud master station and improve the operation efficiency of the system in terms of security protection by reasonably exploring the potential of edge computing resources.