时空一体化的海量数据管理及相应的时序分析能力是新一代GIS软件体系的重要研究目标之一。
Integrative management of massive spatiotemporal data and the relevant capabilities for time series analysis are important research targets of new generation GIS software architecture.
由于其海量和非结构化等特征，实体对象层次模型、群集多服务器体系被提出用以集成并实施高效的空间数据管理。
Because it's massive and unstructured, Feature-Oriented Object Level (FOOL) and Multi-servers cluster system are used to integrate and manage spatial data effectively.
空间数据管理网格将物理分布的空间数据在逻辑上组成一个超大虚拟的空间数据库，实现全国乃至全球的海量空间数据的管理。
Spatial data managing grid can integrate all distributed data into a super-large, virtual spatial DB, it can realize to manage magnanimity spatial data of the whole country or global.
针对海量多媒体数据管理的特点，设计实现了基于分布式通信网络的海量多媒体数据管理系统。
Aiming at the speciality of multimedia data management, we design a huge volume multimedia data management system based on a distributed communication network.
所提出的实时数据管理系统和海量实时数据的处理方法，为目前流程工业的海量数据处理提供了一种有效的方法。
The real-time management system and the method of processing mass data which is proposed is provide an effective way to solve current problem of processing mass data in process industry.
海量数据存储系统中的数据管理是影响整个系统性能和可扩展性的关键问题。
In massive data storage systems, data management is the key problem that affecting the performance and scalability of the entire system.
海量数据存储系统中的数据管理是影响整个系统性能和可扩展性的关键问题。
In massive data storage systems, data management is the key problem that affecting the performance and scalability of the entire system.
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