Cost model of R-tree and algorithmic optimization

被引:0
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作者
Chen, Haibo [1 ]
Wang, Shenkang [1 ]
机构
[1] Dept. of Comp. Sci. and Technol., Zhejiang Univ., Hangzhou 310027, China
关键词
Data acquisition - Errors - Optimization;
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摘要
We present a cost model for predicting the performance of R-tree and its variants. Optimization based on the cost model can be applied to R-tree construction. We construct a new R-tree variant named CR-tree using this cost model. Experiment results show that the relative error of the cost model is around 12.6%, and the performance for querying CR-tree has been improved 4.25% in contrast with R-tree's.
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页码:277 / 282
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