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Efficient Processing of Region_Overlap Queries Using Spatial Bit-Sliced Indexing

机译:使用空间比特切片索引有效地处理Region_overlap查询

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In this paper we present an efficient index structure to access spatial data. The proposed index, called SBS (Spatial Bit-Sliced), is based on Bit-Sliced indexing method. The Bit-Sliced index has proven to be an efficient data structure for indexing one-dimensional data. The Bit-Sliced is an extension of bitmap indexing used to access data elements with high cardinality. Bitmap indexing improves I/O performance as well as storage saving by using single bits instead of multiple bytes of data to indicate a specific value of data. In this paper we present algorithms using SBS for performing one of the well known spatial operators: Overlap. To measure the performance of SBS for doing the above operation, we present analytical as well as experimental studies. For experimental studies, TIGER data files are used.
机译:在本文中,我们提出了一种有效的索引结构来访问空间数据。所提出的索引称为SBS(空间比特切片),基于位切片索引方法。已经证明,位切片索引是用于索引一维数据的有效数据结构。比特切片是用于访问具有高基数的数据元素的位图索引的扩展。位图索引通过使用单位而不是多个数据来提高I / O性能以及存储保存,以指示数据的特定值。在本文中,我们使用SBS的算法用于执行众所周知的空间运算符之一:重叠。为了测量SBS进行上述操作的性能,我们提出了分析以及实验研究。对于实验研究,使用Tiger数据文件。

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