To make full use of the data resource, a hierarchy architecture of massive data management system based on Grid is proposed, which consists of Metadata Catalog and Access Broker.
为了充分利用已有的数据资源，我们借鉴网格中的数据管理技术，提出使用元数据目录与访问代理相结合来管理分布式虚拟环境中数据的方法。
The RBAC solves the authorized management problems of the systems, which have massive users, data objects and all kinds of access jurisdictions.
RBAC解决了具有大量用户、数据客体和各种访问权限的系统中的授权管理问题。
The geographical information system (GIS), which contains massive information on basic data, is an inalienable part of the distribution network management system.
地理信息系统（GIS）包含大量基础数据信息，是电力配电网管理系统不可分割的部分。
Extensive functions can be provided to hospital management, medical treatment and teaching when massive data are reasonably processed and analyzed.
合理地处理和分析海量数据将为医院管理、医疗、教学等活动提供更为广泛的功能。
A new solution of massive data lifecycle management is introduced.
介绍了一种海量数据生命周期管理的解决方案。
A memory optimizing management method is proposed, which can memorize massive data efficiently.
提出一种内存优化管理方法，能更高效地存储海量数据。
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。
Currently, traditional spatial data model with the inherent limitations can not fully satisfy the scope of the global multi-resolution massive data dynamic management requirements.
当前，传统空间数据组织与模型的内在局限性已经不能完全满足大范围甚至全球多分辨率海量数据动态管理的要求。
Spatial Database Engine; Spatial Database Management System; Seamless Integration of Multisource Spatial Data; Adjusting and Optimizing; Massive Spatial Data.
空间数据库引擎；空间数据库管理系统；多源空间数据无缝集成；调整和优化；海量空间数据。
Integrative management of massive spatiotemporal data and the relevant capabilities for time series analysis are important research targets of new generation GIS software architecture.
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.
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。
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