The Geospatial Data Cloud: An Implementation of Applying Cloud Computing in Geosciences

Q2 Computer Science
Wang Xuezhi, Zhao Jianghua, Zhou Yuanchun, Liao Jianhui
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引用次数: 9

Abstract

The rapid growth in the volume of remote sensing data and its increasing computational requirements bring huge challenges for researchers as traditional systems cannot adequately satisfy the huge demand for service. Cloud computing has the advantage of high scalability and reliability, which can provide firm technical support. This paper proposes a highly scalable geospatial cloud platform named the Geospatial Data Cloud, which is constructed based on cloud computing. The architecture of the platform is first introduced, and then two subsystems, the cloud-based data management platform and the cloud-based data processing platform, are described.  ––– This paper was presented at the First Scientific Data Conference on Scientific Research, Big Data, and Data Science, organized by CODATA-China and held in Beijing on 24-25 February, 2014.
地理空间数据云:云计算在地球科学中的应用
随着遥感数据量的快速增长和对计算量的要求不断提高,传统的系统已经无法满足巨大的服务需求,这给研究人员带来了巨大的挑战。云计算具有高可扩展性和高可靠性的优势,可以提供坚实的技术支持。本文提出了一种基于云计算构建的高度可扩展的地理空间云平台——地理空间数据云。首先介绍了平台的体系结构,然后介绍了基于云的数据管理平台和基于云的数据处理平台两个子系统。——本文发表于2014年2月24-25日在北京召开的由CODATA-China主办的第一届科学研究、大数据与数据科学科学数据会议上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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