TP-Index:一种动态、高效的时态数据库索引机制

Han Shen, B. Ooi, Hongjun Lu
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引用次数: 59

摘要

为了有效地支持时态运算符,必须支持基于时态属性的索引。作者提出了一种动态高效的时间数据库索引方案——时间多边形索引(TP-index)。在该方案中,将时间数据映射到二维时间空间中,并根据时间对数据进行聚类。然后将日期空间划分为时间多边形,每个多边形对应于一个数据页。时间多边形目录可以组织为层次索引。索引优雅而高效地处理长时间的时态数据。性能分析表明,时间多边形索引在存储利用率和查询搜索方面都是高效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The TP-Index: a dynamic and efficient indexing mechanism for temporal databases
To support temporal operators efficiently, indexing based on temporal attributes must be supported. The authors propose a dynamic and efficient index scheme called the time polygon (TP-index) for temporal databases. In the scheme, temporal data are mapped into a two-dimensional temporal space, where the data can be clustered based on time. The date space is then partitioned into time polygons where each polygon corresponds to a data page. The time polygon directory can be organized as a hierarchical index. The index handles long duration temporal data elegantly and efficiently. The performance analysis indicates that the time polygon index is efficient both in storage utilization and query search.<>
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