Design and Implementation of a Scalable General High Performance Remote Sensing Satellite Ground Processing System on Performance and Function

  • Authors:
  • Jingshan Li;Dingsheng Liu

  • Affiliations:
  • Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, China;Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • ICCS 2009 Proceedings of the 9th International Conference on Computational Science
  • Year:
  • 2009

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Abstract

This paper discusses design and implementation of a scalable high performance remote sensing satellite ground processing system using a variety of advanced hardware and software application technology on performance and function. These advanced technologies include the network, parallel file system, parallel programming, job schedule, workflow management, design patterns,etc, which make performance and function of remote sensing satellite ground processing system scalable enough to fully meet the high performance processing requirement of multi-satellite, multi-tasking, massive remote sensing satellite data. The "beijing-1" satellite remote sensing ground processing system is introduced as an instance.