首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:GSio: A programmatic interface for delivering Big Earth data-as-a-service
  • 本地全文:下载
  • 作者:Pablo R. Larraondo ; Sean Pringle ; Jian Guo
  • 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
国家哲学社会科学文献中心版权所有