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On Massive Spatial Data Retrieval Based on Spark

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Web-Age Information Management (WAIM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8597))

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Abstract

In order to search more efficiently for rapidly growing spatial data, cloud quad tree and R-tree is adopted in spatial index for the non-relational databases of cloud HBase, by which data can be retrieved successfully. By comparison of retrieval efficiency between cloud quad tree and R-tree, that how different parameters acted is tested on data index and retrieval efficiency and put forward an relatively more reasonable solution. Subsequently, we verify the validity of index calculation when there is a giant one.

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Acknowledgments

This research work was supported by National High Technology Research and Development Program 863 under Grant No. 2013AA12A402, Natural Science Foundation of Guangxi Provincial under Grant No. 2013GXNSFAA019349.

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Correspondence to Xiaolan Xie .

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© 2014 Springer International Publishing Switzerland

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Xie, X., Xiong, Z., Hu, X., Zhou, G., Ni, J. (2014). On Massive Spatial Data Retrieval Based on Spark. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-11538-2_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11537-5

  • Online ISBN: 978-3-319-11538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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