文章基本信息

标题：GSio: A programmatic interface for delivering Big Earth data-as-a-service
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作者：Pablo R. Larraondo ; Sean Pringle ; Jian Guo 等
期刊名称：Big Earth Data
印刷版ISSN：2096-4471
电子版ISSN：2574-5417
出版年度：2017
卷号：1
期号：1-2
页码：173-190
DOI：10.1080/20964471.2017.1397898
出版社：Taylor & Francis Group
摘要：In this paper, we present GSio, a software system for serving geospatial raster or gridded Big Earth Data at scale. GSio allows different scientific communities to consume geospatial analysis ready data. It provides a generic interface to the data, which removes the need to interact with individual files, and can interoperate with existing geospatial collections hosted on data centres and public clouds. A distributed compute model is used to read and transform the data in parallel using a cluster of compute nodes for delivering data as a service to users. Several use cases are presented demonstrating different scenarios where this service has been used.
关键词：Big Earth Data ; data;as;a;service ; distributed ; scalable ; geospatial