摘要
针对CIMISS数据存储管理系统在业务运行中出现的性能瓶颈问题,在分析该系统流程的基础上,根据性能瓶颈出现的不同环节开展相应的优化工作,针对数据存储性能问题,分析了传统Share Disk和最新Share Nothing架构的差异,设计了分布式数据库的部署方案和嵌入CIMISS技术方案。针对业务调度进程的性能瓶颈,优化了相应的调度记录项。数据分析表明,上述优化措施实施后,数据存储管理系统的服务性能和运行稳定性提升明显,数据服务接口皆有数倍的性能提升,非结构化数据平均入库及时率高于98%,为各类气象业务应用提供了稳定可靠的数据环境支撑。
Aiming at the performance bottleneck of the CIMISS Service-Oriented Data Storage System in operation,based on the analysis of system processes,this paper carries out the corresponding optimization on the different aspects of performance bottlenecks,analyzes the differences between traditional Share Disk and latest Share Nothing structure,designs the deployment scheme of distributed databases and the technology solution of the embedded CIMISS for data storage performance issues.In order to optimize the performance bottleneck of the scheduling process,the corresponding scheduling records are optimized.The data analysis shows that the service performance and operational stability of SOD are improved significantly;the performance of some interfaces is improved by more than 10 times;and the time efficiency of unstructured data storage is higher than 98%,when the above optimization measures are implemented.It provides stable and reliable data support for all types of meteorological service applications.
作者
向筱铭
徐晓莉
杨雪
高峰
胡晓润
Xiang Xiaoming;Xu Xiaoli;Yang Xue;Gao Feng;Hu Xiaorun(Sichuan Meteorological Observation and Data Centre,Chengdu 610072;Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610072;National Meteorological Information Center,Beijing 100081)
出处
《气象科技》
2019年第2期237-243,共7页
Meteorological Science and Technology
基金
高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目"基于分布式数据库的CIMISS扩能技术研究与系统建设"资助
关键词
数据存储
分布式数据库
系统调度
优化
data storage
distributed database
system scheduling
optimization
