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

نویسندگان

  • Xuezhi Wang
  • Jianghua Zhao
  • Yuanchun Zhou
  • Jianhui Li
چکیده

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.

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عنوان ژورنال:
  • Data Science Journal

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2014