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An Improved Hilbert Curve for Parallel Spatial Data Partitioning
作者姓名:MENG  Lingkui  HUANG  Changqing  ZHAO  Chunyu  LIN  Zhiyong
作者单位:School of Remote Sensing and Information Engineering Wuhan University,12 9L uoyu Road Wuhan 43007,9 China
基金项目:Funded by the National 863 Program of China (No. 2005AA113150), and the National Natural Science Foundation of China (No.40701158).
摘    要:A novel Hilbert-curve is introduced for parallel spatial data partitioning, with consideration of the huge-amount property of spatial information and the variable-length characteristic of vector data i...

关 键 词:并行空间数据库  数据划分算法  数据不均衡  希耳伯特曲线
文章编号:1009-5020(2007)04-282-05
收稿时间:2007-09-13

An improved Hilbert curve for parallel spatial data partitioning
MENG Lingkui HUANG Changqing ZHAO Chunyu LIN Zhiyong.An Improved Hilbert Curve for Parallel Spatial Data Partitioning[J].Geo-Spatial Information Science,2007,10(4):282-286.
Authors:Meng Lingkui  Huang Changqing  Zhao Chunyu  Lin Zhiyong
Institution:School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Abstract:A novel Hilbert-curve is introduced for parallel spatial data partitioning, with consideration of the huge-amount property of spatial information and the variable-length characteristic of vector data items. Based on the improved Hilbert curve, the algorithm can be designed to achieve almost-uniform spatial data partitioning among multiple disks in parallel spatial databases. Thus, the phenomenon of data imbalance can be significantly avoided and search and query efficiency can be enhanced.
Keywords:parallel spatial database  spatial data partitioning    data imbalance  Hilbert curve
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