摘要
基于分布式云数据中心,结合Hadoop架构,构建了城乡规划大数据集成处理平台,为海量多源的城乡规划大数据提供可扩展、连续的处理支持,满足其多样化、动态化的应用需求。以多源异构的城市POI及二手房数据为例,进行融合处理与存储测试。研究结果表明:系统能够在较短时间内处理多源海量数据,为用户请求提供完整而不冗余的信息。
Based on distributed cloud data centers,combined with Hadoop framework,a large data integration processing platform is proposed and designed to provide integrated support for the variety of urban and rural planning and large data processing applications.Aiming at the multi-source heterogeneous POI and second-hand house data,the fusion processing and storage test is carried out.Experimental results show that the system can process multi-source massive data in a relatively short time and provide complete and non-redundant information for users.
作者
柳运昌
张娜
LIU Yun-chang;ZHANG Na(School of Computer and Data Science,Henan University of Urban Construction,Pingdingshan 467036,China;Center for Henan Urban&Rural Planning Big Data Application Technology Engineering Research,Pingdingshan 467036,China)
出处
《河南城建学院学报》
CAS
2020年第3期81-86,92,共7页
Journal of Henan University of Urban Construction
基金
河南省重点研发与推广项目(182102210224)
河南省高等学校重点科研项目(18B520007)。
