分布式云计算中心监测数据可视化运维技术

Distributed Cloud Computing Center Monitoring Data Visualization Operation and Maintenance Technology

当前的中心监测数据可视化运维矩阵多为单向,运维处理受限制,导致可视化运维单元响应时间增加。对此,提出分布式云计算中心监测数据可视化运维技术。根据测定要求采集初始运维数据,以多目标交叉的方式打破运维处理的限制,设计多目标交叉分布运维矩阵,基于此,构建高阶特征数据可视化运维模型,采用聚类反位处理实现数据可视化运维。测试结果表明,多维云计算监测数据可视化运维测试组的可视化运维单元响应时间被较好地控制在0.25 s以下,说明该技术应用效果更佳,针对性更强。

The current visualization operation and maintenance matrix of central monitoring data is mostly unidirectional,and the operation and maintenance processing is limited,resulting in an increase in the response time of the visualization operation and maintenance unit.To this end,a distributed cloud computing center monitoring data visualization operation and maintenance technology is proposed.Collect initial operation and maintenance data according to the measurement requirements,break through the limitations of operation and maintenance processing through multi-objective crossover,design a multi-objective crossover distribution operation and maintenance matrix,and based on this,construct a high-order feature data visualization operation and maintenance model.Use clustering inversion processing to achieve data visualization operation and maintenance.The test results show that the response time of the visualization operation and maintenance unit in the multidimensional cloud computing monitoring data visualization operation and maintenance test group is well controlled below 0.25 s,indicating that the application effect of this technology is better and more targeted.