湖北省构建免疫规划信息管理系统大数据分布式云计算平台初探

Application of a large data base and distributed cloud computing platform for the Hubei Immunization Program Information Management System

目的构建湖北省免疫规划信息管理系统大数据分布式云计算平台。方法利用云计算平台基础架构及虚拟化应用技术,结合湖北省免疫规划信息管理系统既有的应用服务器部署特性,进行平台的应用分布式部署,评价应用效果。结果湖北省免疫规划信息管理系统在架构上实现了基于大数据与虚拟化的分布式云计算平台;预防接种客户端与市、省级应用服务器之间的数据交互通过专线的链路实现了网络资源共享;系统有能力对业务数据做进一步优化与利用。分布式云计算平台的应用部署显著提升了湖北省免疫规划信息管理系统的业务执行效率,实现了在系统运维级架构层面每个关键节点(服务器)都是冗余架构(≥1台服务器),单点瓶颈基本消除;用户故障反馈率同比下降约60%;业务系统可用率最高达99.5%。结论湖北省免疫规划信息管理系统基于大数据分布式云计算平台的应用实践行之有效,具有重大导向意义。

Objective To build a large data base and distributed cloud computing platform for the Hubei Immunization Program Information Management System（HIPIMS）. Methods We used the basic structure of a cloud computing platform and its virtual applications,combined with the application server configuration of HIPIMS,to build a distributed platform,and we evaluated its impact. Results We built a large data base and virtualized cloud computing platform for HIPIMS. Sharing online resources was achieved by data interactions between immunization clients and prefectural/provincial application servers through a specific link line. The system was able to optimize and use immunization data. The platform significantly improved the performance of HIPIMS,and achieved that each key point（server） became a redundant structure（≥1 servers） for running and maintenance of the system. The previous bottleneck of single points was eliminated,with a 60% decrease of failures and 99. 5% use of immunization data.Conclusions The large data base and distributed cloud computing platform for HIPIMS is practical and effective,and is of great significance.