在对Geodatabase、O rac le Spatial等常见的地理数据库引擎数据模型进行描述和分析的基础上,根据地理数据库海量地理数据存储和查询优化理论,应用目前较为热门的对象-关系数据模型技术以及三层客户/服务器体系框架,提出了满足海量、多...在对Geodatabase、O rac le Spatial等常见的地理数据库引擎数据模型进行描述和分析的基础上,根据地理数据库海量地理数据存储和查询优化理论,应用目前较为热门的对象-关系数据模型技术以及三层客户/服务器体系框架,提出了满足海量、多源、多分辨率地理数据高效无缝存储和管理的较为理想的地理数据模型,并对该数据模型的特点进行了详细说明。实现了G IS开发和应用从以系统为中心到以数据为中心的转变。展开更多
We developed a parallel object relational DBMS named PORLES. It uses BSP model as its parallel computing model, and monoid calculus as its basis of data model. In this paper, we introduce its data model, parallel que...We developed a parallel object relational DBMS named PORLES. It uses BSP model as its parallel computing model, and monoid calculus as its basis of data model. In this paper, we introduce its data model, parallel query optimization, transaction processing system and parallel access method in detail.展开更多
文摘在对Geodatabase、O rac le Spatial等常见的地理数据库引擎数据模型进行描述和分析的基础上,根据地理数据库海量地理数据存储和查询优化理论,应用目前较为热门的对象-关系数据模型技术以及三层客户/服务器体系框架,提出了满足海量、多源、多分辨率地理数据高效无缝存储和管理的较为理想的地理数据模型,并对该数据模型的特点进行了详细说明。实现了G IS开发和应用从以系统为中心到以数据为中心的转变。
文摘We developed a parallel object relational DBMS named PORLES. It uses BSP model as its parallel computing model, and monoid calculus as its basis of data model. In this paper, we introduce its data model, parallel query optimization, transaction processing system and parallel access method in detail.
