A High Performance, Spatiotemporal Statistical Analysis System Based on a Spatiotemporal Cloud PlatformReportar como inadecuado


A High Performance, Spatiotemporal Statistical Analysis System Based on a Spatiotemporal Cloud Platform


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1

Yunnan Provincial Geomatics Centre, Kunming 650034, Yunnan, China

2

Department of Geoinformation Science, Kunming University of Science and Technology, Kunming 650504, Yunnan, China

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Department of Geography, Eastern China Normal University, Shanghai 200062, China

4

School of Remote Sensing Information and Engineering, Wuhan University, Wuhan 430071, Hubei, China

5

Beijing Yunhe Spatiotemporal Tehnology Co. Ltd, Beijing 100080, China





*

Authors to whom correspondence should be addressed.



Academic Editors: Ozgun Akcay and Wolfgang Kainz

Abstract With the increase in size and complexity of spatiotemporal data, traditional methods for performing statistical analysis are insufficient for meeting real-time requirements for mining information from Big Data, due to both data- and computing-intensive factors. To solve the Big Data challenges in geostatistics and to support decision-making, a high performance, spatiotemporal statistical analysis system Geostatistics-Hadoop is proposed in this paper. The proposed system has several features: 1 Hadoop is enhanced to handle spatial data in a native format and execute a number of parallelized spatial analysis algorithms to solve practical geospatial analysis problems; 2 the Oozie-based workflow system is utilized to ease the operation and sharing of spatial analysis services; and 3 a private cloud platform based on Eucalyptus is leveraged to provide on-the-fly and elastic computing resources. Experimental results show that Geostatistics-Hadoop efficiently conducts rapid information mining and analysis of big spatiotemporal data sets, with the support of elastic computing resources from a cloud platform. The adoption of cloud computing and the Hadoop cluster to parallelize statistical calculations significantly improves the performance of Big Data analyses. View Full-Text

Keywords: spatiotemporal cloud platform; high-performance spatiotemporal statistical analysis system; Hadoop spatiotemporal cloud platform; high-performance spatiotemporal statistical analysis system; Hadoop





Autor: Baoxuan Jin 1,* , Weiwei Song 2, Kang Zhao 1, Xiaoyan Wei 1, Fei Hu 3 and Yongyao Jiang 4,5,*

Fuente: http://mdpi.com/



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