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An efficient balanced hierarchical data structure for multiversion accesses to spatio-temporal data

机译:一种高效的平衡层次结构数据结构,用于对时空数据进行多版本访问

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In the management of spatio-temporal data, a data structure must manage multiple versions of a data structure efficiently, and provide quick and flexible search methods not only for temporal or spatial queries, but also for the combined queries of spatial and temporal intervals. The persistent MD-tree, called the PMD-tree is developed by extending a hierarchical data structure to support accesses to multiple versions. The PMD-tree has the novel properties that the tree representing any time aspect of a data structure is always balanced, and that the storage utilization rate is more than 66.6%. The algorithms of the PMD-tree, space and time analyses, and search performances compared to the MD-tree are described in the paper.
机译:在时空数据的管理中,数据结构必须有效地管理数据结构的多个版本,并且不仅为时间或空间查询,而且为空间和时间间隔的组合查询提供快速,灵活的搜索方法。通过扩展分层数据结构以支持对多个版本的访问,开发了称为MDD树的持久MD树。 PMD树具有新颖的特性,即代表数据结构任何时间方面的树始终保持平衡,并且存储利用率超过66.6%。本文描述了PMD树的算法,空间和时间分析以及与MD树相比的搜索性能。

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