摘要
针对原有云服务平台管理方法仅对平台中数据进行管理造成平台相应时间过长的问题,设计基于仪器利用率的数据云服务平台高效管理方法。首先,通过MIT与云数据库对平台中的数据质量进行管理;采用仪器利用率对平台中的设备进行性能管理与控制;为保证平台数据传输过程的便利性,采用马尔科夫过程原理构建平台信息路径管理模型并采用相应计算机技术实现其管理功能。结合上述设计,以成本管理与WBS分解结果为依据,实现云服务平台的综合管理。至此,基于仪器利用率的数据云服务平台高效管理方法完成。构建对比试验,在平台中使用两种方法进行管理并对比管理效果,通过平台响应时间体现。与原有方法相比,此方法设备响应时间更短。与原有方法相比,平台响应时间缩短50%。由此可知,此管理方法更为高效。
Aiming at the problem that the original management method of cloud service platform only manages the data in the platform,which causes the corresponding long time of the platform,an efficient management method of data cloud service platform based on instrument utilization is designed.Firstly,MIT and cloud database are used to manage the data quality in the platform.The instrument utilization ratio is used to manage and control the performance of the equipment in the platform.In order to ensure the convenience of the platform data transmission process,the markov process principle is used to construct the platform information path management model and the corresponding computer technology is used to realize its management function.Combined with the above design,based on the cost management and WBS decomposition results,the comprehensive management of cloud service platform is realized.Thus,the efficient management method of data cloud service platform based on instrument utilization is completed.A comparison experiment was constructed,and two methods were used for management in the platform and the management effect was compared,which was reflected by the response time of the platform.Compared with the original method,this method has shorter equipment time.Compared with the original method,the response time of the platform is reduced by 50%.Therefore,this management method is more efficient.
作者
董朋志
DONG Pengzhi(China Economic Information Service,Beijing 100052,China)
出处
《自动化与仪器仪表》
2020年第6期160-163,共4页
Automation & Instrumentation
基金
研究部科技项目:仪器利用率数据云平台管理方法研究(No.53022527010M)。
关键词
仪器利用率
云服务
高效管理
平台管理
数据处理
instrument utilization
cloud services
efficient management
platform management
data processing
