面向大数据的高效空间查询处理

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI:10.1145/2666310.2666481

Kisung Lee, R. Ganti, M. Srivatsa, Ling Liu

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引用次数: 66

摘要

空间查询广泛应用于许多数据挖掘和分析应用中。然而，空间数据的巨大和不断增长的规模给空间查询的有效处理带来了挑战。本文提出了一种轻量级、可扩展的分布式存储系统大数据空间索引。实验结果表明，本文提出的空间索引技术对不同的空间查询具有较高的效率和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Efficient spatial query processing for big data

Spatial queries are widely used in many data mining and analytics applications. However, a huge and growing size of spatial data makes it challenging to process the spatial queries efficiently. In this paper we present a lightweight and scalable spatial index for big data stored in distributed storage systems. Experimental results show the efficiency and effectiveness of our spatial indexing technique for different spatial queries.

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来源期刊

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

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