分布式云计算架构在区域医疗大数据分析中的优化研究

Research on Optimization of Distributed Cloud Computing Architecture in Regional Medical Big Data Analysis

在初建的医疗分布式大数据平台中,提升网络架构各个环节的效率始终是迫在眉睫的难题,通过效率的增长能够让终端医疗机构和上层平台的双向互动具备更好的协调性和伸缩性。基于此,本文分析了分布式云计算在区域医疗大数据分析中的架构,并结合实际情况给出了相应的优化策略,以求为保证医疗大数据分析成效提供理论上的支持。

In the newly built medical distributed big data platform,improving the efficiency of all aspects of the network architecture is always an urgent problem.Through the growth of efficiency,the two-way interaction between terminal medical institutions and the upper platform can have better coordination and scalability.Based on this,this paper analyzes the architecture of distributed cloud computing in regional medical big data analysis,and gives the corresponding optimization strategy combined with the actual situation,in order to provide theoretical support for ensuring the effectiveness of medical big data analysis.