基于Hilbert空间排列码的海量空间数据划分算法研究

基金项目: 国家863计划资助项目(2005AA113150);湖北省自然科学基金资助项目(2004ABA013)

详细信息

Spatial Partitioning of Massive Data Based on Hilbert Spatial Ordering Code

¹ School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家863计划资助项目(2005AA113150);湖北省自然科学基金资助项目(2004ABA013)

摘要: 在深入分析了Hilbert空间排列码的线性映射特性后,将其应用于数据划分之中,并给出了具体的实现算法。本算法既考虑了空间目标的聚集性,又考虑了各个划分结点上数据存储量的平衡性,极大地提高了并行空间数据库的处理效率。
- PC集群 /
- Hilbert空间排列码 /
- 空间数据划分
Abstract: The excellent linear mapping characteristics of Hilbert spatial ordering code is studied and applied to spatial partitioning of data,and a concrete algorithm is given.In this algorithm,the clustering performance of spatial objects is taken into account,and the balance of data storage on each processing node is also taken into account,which greatly improves the processing efficiency of parallel spatial database.
- PC cluster /
- Hilbert spatial ordering code /
- spatial partitioning of data