大规模容器云平台海量软件数据资源实时监控方法  

Real time monitoring method for massive software data resources of large-scale container cloud platform

作　　者：王军波[1] WANG Junbo(Shaanxi Police Academy,Xi’an,710021 China)

机构地区：[1]陕西警官职业学院,西安710021

出　　处：《自动化与仪器仪表》2023年第1期10-14,共5页Automation & Instrumentation

基　　金：陕西省教育科学“十四五”规划项目(SGH21Y 0529)。

摘　　要：为提高容器云资源监控效果,设计一种大规模容器云平台海量数据资源实时监控方法。首先采集容器云资源数据,对海量软件数据资源进行格式变换,将数据转换成有监督问题的时间序列,再采用统计模型的方式对每个数据资源进行建模和匹配,并对各部分软件数据资源进行分割,最后采用序列化蒙特卡洛方法对云平台海量软件数据资源实时监控。实验结果表明,设计方法能够准确监测出容器云中软件数据资源集群变化情况,在各个项目的监测上,监控准确率均在95%以上,监测速度较快,最多花费9 s就能够实现软件数据资源变化情况的监控,证明所提出方法能够有效提高容器云海量软件数据资源的监控效果。In order to improve the monitoring effect of container cloud resources,a real-time monitoring method of massive data resources of large-scale container cloud platform is designed.Firstly,collect the container cloud resource data,transform the format of the massive software data resources,convert the data into a time series with supervision problems,then use the statistical model to model and match each data resource,and segment each part of the software data resources.Finally,use the serialized Monte Carlo method to monitor the massive software data resources of the cloud platform in real time.The experimental results show that the design method can accurately monitor the changes of software data resources cluster in container cloud.In the monitoring of each project,the monitoring accuracy is more than 95%,the monitoring speed is fast,and it can monitor the changes of software data resources in up to 9 seconds.It is proved that the proposed method can effectively improve the monitoring effect of massive software data resources in container cloud.

关 键 词：大规模 容器云平台 软件数据资源 实时监控 方法设计 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]