Distributed storage and index of vector spatial data based on HBase
Distributed storage and index of vector spatial data based on HBase
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DOI：
10.1109/geoinformatics.2013.6626052
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
L. Wang;Bin Chen;Yuehu Liu
中科院分区：
文献类型：
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作者：
L. Wang;Bin Chen;Yuehu Liu
为了解决海量矢量空间数据的存储和查询问题，设计了一种基于HBase的矢量空间数据模型。然后，提出了一种利用MapReduce和Packed Hilbert R-tree算法并行构建Hilbert R-tree索引的方法。最后，通过实验验证了本文提出的矢量空间数据模型和Hilbert R树索引并行构建方法的有效性。
In order to deal with the storage and query problems of massive vector spatial data, we design a vector spatial data model based on HBase. Then, a parallel method of building Hilbert R-tree index using MapReduce and packed Hilbert R-tree algorithm is proposed. In the end, the proposed vector spatial data model and the method of building Hilbert R-tree index in parallel are proven to be effective and efficient by experiments.