摘要
文章基于山东省地理信息时空大数据中心的建设,面向海量的时空大数据存储需求,在分析地理信息资源管理与应用的特点后,提出了一种基于云架构的大数据存储技术。通过对数据库进行应用层层级横向划分,并利用分布式存储技术,创建分布式矩阵,解决了海量测绘数据存储中数据浏览效率低、并发性能差、可扩展性小的问题,为测绘地理信息大数据存储与应用提供了底层技术支撑。
Based on the construction of Shandong Province Geographic Information Spatio-temporal Big Data Center,facing the massive spatio-temporal big data storage requirements,after analyzing the characteristics of geographic information resource management and application,a big data storage technology based on cloud architecture is proposed.By horizontally dividing the database into application layers and using distributed storage technology,a distributed matrix is created,which solves the problems of low data browsing efficiency,poor concurrency and small scalability in massive surveying and mapping data storage,and provides the bottom layer for the storage and application of geographic information surveying and mapping big data.
作者
平宗玮
PING Zong-wei(Shandong Provincial Institute of Land Surveying and Mapping,Jinan Shandong 250013,China)
出处
《地矿测绘》
2021年第4期1-6,11,共7页
Surveying and Mapping of Geology and Mineral Resources
基金
山东省“十三五”基础测绘规划基金资助项目(201605097)。
关键词
地理信息
大数据
分布式存储
数据切片
云架构
geographic information
big data
distributed storage
data slicing
cloud architecture
