Intelligent flow detection in hospital microservices platform security operation and maintenance management system based on genetic algorithm optimized LightGBM algorithm
A novel data detection algorithm is proposed to improve the data detection efficiency of the operation and maintenance management system for the hospital microservices platform.Based on the multiple characteristics of the platform data,the algorithm constructs the overall framework of the operation and maintenance management system.By combining the parameter optimization ability of genetic algorithm and the rapid detection ability of LightGBM algorithm,the effective detection of the flow data in the operation and maintenance management system is realized.The effectiveness of the model is verified through a control test,and the results show that the proposed method performs the best in intelligent flow detection,achieving accuracy of 0.981 0,recall rate of 0.68 and F1 value of 0.77 which are all higher than those of the traditional methods.
microservices platformoperation and maintenance management systemgenetic algorithmLightGBM
NETL
NSTL
万方数据
