针对多系统间的数据交换、共享问题,尤其在大数据时代,海量的数据增长给数据的管理带来的挑战,提出了一种基于G/S(General-Browser/Service-Cloud,G/S)模式的空间信息云服务架构——面向数据的架构(data oriented architecture,DOA).以数据为核心,以数据标识为主线,通过数据注册中心和数据交换规范XXML (specific industry markup language),对海量异构数据进行存储、计算和管理,实现多系统间的数据共享、访问和协同;通过在地质灾害监测预警方面的应用,证明了该架构作为信息技术的系统构建方法在大数据时代独特的优势.
Specific to data exchange and sharing problems between multisystems, especially in the era of big data, growth of vast a- mounts of data brought great challenges to data management, proposed one spatial information service cloud architecture based on G/S mod- el, data oriented architecture. In this architecture data as the core, data identification as the main line, through the data registry center and data exchange specification XXML, huge amounts of heterogeneous data are stored, computed and management, and implement the data sha- ring, access and synergy between multisystems. Application in geologicaI disaster monitoring and warning proved that as a method of system establishing of information technology the architecture have unique advantages in the era of big data.