Research and Implementation on Spatial Data Storage and Operation Based on Hadoop Platform

Abstract

As the deep development of spatial information sharing service, it brings forward high request to usability and expansibility of supporting system. Based on large-scale scalable server cluster, cloud computing brings hopes to resolves the existing difficult problems in the domain of geospatial information service. In this paper, we imported cloud computing technology including MapReduce model and Hadoop platform into the domain of geographic information system (GIS). Those key technology problems in the application of GIS such as spatial data storage, spatial index and spatial operation were described and studied in detail. We evaluated the performance and efficiency of spatial operation in Hadoop experiment environment with the real world data set. It demonstrates the applicability of cloud computing technology in computing-intensive spatial applications. Keywords-geographic information system;Hadoop;cloud computing; MapReduce; geospatiai service

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Cite this paper

@inproceedings{Wang2010ResearchAI, title={Research and Implementation on Spatial Data Storage and Operation Based on Hadoop Platform}, author={Yuxiu Wang and Sheng Wang}, year={2010} }