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Materialized Spatial View Indexing Technique using R- Tree Re-construction

机译:使用R-Tree重建的物化空间视图索引技术

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摘要

In this paper, the Materialized Spatial View Indexing Technique(MSVIT) is proposed by using R-tree re-construction. The MSVIT is a technique which constructs a spatial index according to the distribution ratio of objects in a spatial view. This ratio is computed by using a Spatial View Height in R-tree(SVHR) and Spatial View Object Count(SVOC). If the computed ratio is higher than the average, a spatial view is materialized and the R-Tree index is re-used. In this case, the root node of this index is set a node which has a Minimum Boundary Rectangle(MBR) value that can contains the whole region of spatial view at a minimum size. Otherwise, a spatial view is materialized and the R-tree is re-constructed. In this technique, the information of spatial view is managed by using a Spatial View Information Table(SVIT) and is stored on the record of this table. The proposed technique increases the response time through fast query processing on a materialized view and eliminates additional costs occurred from repeatable quay modification on same query With these advantages, it can greatly minimize the network overloads and the bottleneck on the server-side.
机译:本文采用R树重构技术,提出了物化空间视图索引技术(MSVIT)。 MSVIT是一种根据空间视图中对象的分布比率构造空间索引的技术。通过使用R树中的空间视图高度(SVHR)和空间视图对象计数(SVOC)计算该比率。如果计算出的比率高于平均值,则将实现空间视图,并重新使用R-Tree索引。在这种情况下,此索引的根节点设置为一个节点,该节点具有“最小边界矩形”(MBR)值,该值可以以最小大小包含空间视图的整个区域。否则,将实现空间视图,并重新构造R树。在这种技术中,通过使用空间视图信息表(SVIT)管理空间视图的信息,并将其存储在该表的记录中。所提出的技术通过在物化视图上进行快速查询处理来增加响应时间,并消除了由于对相同查询进行可重复码头修改而产生的额外费用。这些优点可以极大地减少网络过载和服务器端的瓶颈。

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