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标题：Evaluating Efficiency of Spatial Analysis in Cloud Computing Platforms (Short Paper)
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作者：Changlock Choi ; Yelin Kim ; Youngho Lee 等
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2018
卷号：114
页码：1-5
DOI：10.4230/LIPIcs.GISCIENCE.2018.24
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：The increase of high-resolution spatial data and methodological developments in recent years has enabled a detailed analysis of individuals' experience in space and over time. However, despite the increasing availability of data and technological advances, such individual-level analysis is not always possible in practice because of its computing requirements. To overcome this limitation, there has been a considerable amount of research on the use of high-performance, public cloud computing platforms for spatial analysis and simulation. In this paper, we aim to evaluate the efficiency of spatial analysis in cloud computing platforms. We compared the computing speed for calculating the Moran's I index between a local machine and spot instances on clouds, and our results demonstrated that there could be significant improvements in terms of computing time when the analysis was performed parallel on clouds.
关键词：spatial analysis; parallel computing; cloud services