Abstract
Faced with the status in big data era of information explosion, the conventional geographic information system can no longer meet the demands of storage and processing with a sea of data. The cloud computing as with ultra-large-scale server and high versatility and reliability of the new generation service model, just to meet the future needs of GIS. The paper design and implement the Geographic Information Storage System with Hadoop. The thesis has the following components: The brief analysis of the Hadoop implementation of the advantages of geographic information systems and the shortcomings of conventional GIS. Analysing the process of image processing and storage in Hadoop and conventional GIS to explore the suitability of the geographic information storage system built in Hadoop. The efficient image storage on HDFS cutting and generate image pyramid data for a large graphic.
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Acknowledgement
This research is supported in part by National Nature Science Foundation of China No. 61440054, Fundamental Research Funds for the Central Universities of China No. 216274213, and Nature Science Foundation of Hubei, China No. 2014CFA048. Outstanding Academic Talents Startup Funds of Wuhan University, No. 216-410100003.S
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Wang, Z. et al. (2016). The Design and Implementation of Geographic Information Storage System Based on the Cloud Platform. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_95
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DOI: https://doi.org/10.1007/978-3-662-49155-3_95
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