气象高性能计算机可视化运维管理系统OA

With the increasing demand for computing resources in meteorological numerical prediction and scientific research,High-Performance Computers(HPC)have become an indispensable cornerstone of computing power to support these fields.The traditional operation and maintenance management mode of HPC faces problems such as low resource utilization efficiency,inad-equate system monitoring mechanisms,and fragmented operation and maintenance information,which restrict the full utilization of HPC clusters.Aiming at the practical needs of HPC operation and maintenance management in the field of meteorology,this paper designs and implements a HPC visual operation and maintenance management system.The system integrates the automated execution capabilities of Bash Shell scripts,the efficiency of the Django framework in web development,and the powerful data visualization capabilities of Highcharts library,achieving comprehensive monitoring,centralized management,and intuitive vi-sualization of resource utilization for HPC clusters.The implementation of the system improves the operation and maintenance management level and utilization efficiency of HPC clusters,and provides technical support for the core business of meteorologi-cal numerical prediction.