计算机应用 ›› 2010, Vol. 30 ›› Issue (1): 22-24.
• 数据库技术 • 上一篇 下一篇
张辉1,刘永山2,高云2
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摘要: 为实现移动对象当前及未来位置索引,提出了一种自适应SABX树(Self-Adapt BX-tree),考虑到移动对象在现实世界中分布密度不同的特点,利用时间划分和空间填充曲线技术计算移动对象位置信息,并引进了一个以秩的范围为标识的Hash辅助索引表,文中给出了SABX树的插入、删除、更新方法以及范围查询算法。实验表明,该索引结构的动态更新性能和查询效率优于BX树和传统的TPR树。
关键词: 移动对象索引, BX树, Hilbert曲线, 秩
Abstract: A SelfAdaptive BX-tree (SABX) was presented for indexing the current and future position of moving objects. Taking account of the different density of moving objects in reality, SABX-tree utilized the technology of temporal partitioning and spacefilling curves to calculate the objects’ position, then a supplemented Hash index was introduced to store and index the forest of BX-trees. Besides, the insertion,deletion, update methods and range query algorithm were developed for SABX-tree. Experimental results show that SABX-tree’s dynamic update and query performances outperform those of BX-tree and traditional TPRtree.
Key words: moving objects Index, BX-tree, Hilbert curve, order
张辉 刘永山 高云. 一种基于BX树的移动对象混合索引方法[J]. 计算机应用, 2010, 30(1): 22-24.
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