15 December 2014 Three-dimensional geospatial information service based on cloud computing
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J. of Applied Remote Sensing, 8(1), 085195 (2014). doi:10.1117/1.JRS.8.085195
Cloud computing technologies can support high-performance geospatial services in various domains, such as smart city and agriculture. Apache Hadoop, an open-source software framework, can be used to build a cloud environment on commodity clusters for storage and large-scale processing of data sets. The Open Geospatial Consortium (OGC) Web 3-D Service (W3DS) is a portrayal service for three-dimensional (3-D) geospatial data. Its performance could be improved by cloud computing technologies. This paper investigates how OGC W3DS could be developed in a cloud computing environment. It adopts the Apache Hadoop as the framework to provide a cloud implementation. The design and implementation of the 3-D geospatial information cloud service is presented. The performance evaluation is performed over data retrieval tests running in a cloud platform built by Hadoop clusters. The evaluation results provide a valuable reference on providing high-performance 3-D geospatial information cloud services.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Xi Zhai, Peng Yue, Liangcun Jiang, Linnan Wang, "Three-dimensional geospatial information service based on cloud computing," Journal of Applied Remote Sensing 8(1), 085195 (15 December 2014). https://doi.org/10.1117/1.JRS.8.085195

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