Study on grid-based special remotely sensed data processing node

  • Authors:

  • Jianqin Wang;Yong Xue;Yincui Hu;Chaolin Wu;Jianping Guo;Lei Zheng;Ying Luo;RuiZhi Sun;GuangLi Liu;YunLing Liu

  • Affiliations:

  • College of Information and Electric Engineering, China Agricultural University, Beijing, China;Jointly Sponsored by the Inst. of Remote Sensing Applications of Chinese Academy of Sci. and Beijing Normal Univ., Inst. of Remote Sensing Appl., Chinese Academy of Sci., Beijing, China and Dept. ...;State Key Lab. of Remote Sensing Science, Jointly Sponsored by the Inst. of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal Univ., Inst. of Remote Sensing Application ...;State Key Lab. of Remote Sensing Science, Jointly Sponsored by the Inst. of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal Univ., Inst. of Remote Sensing Application ...;State Key Lab. of Remote Sensing Sci., Jointly Sponsored by the Inst. of Remote Sensing Applications of Chinese Academy of Sci. and Beijing Normal Univ., and Graduate Sch. of the Chinese Academy o ...;State Key Lab. of Remote Sensing Sci., Jointly Sponsored by the Inst. of Remote Sensing Applications of Chinese Academy of Sci. and Beijing Normal Univ., and Graduate Sch. of the Chinese Academy o ...;State Key Lab. of Remote Sensing Sci., Jointly Sponsored by the Inst. of Remote Sensing Applications of Chinese Academy of Sci. and Beijing Normal Univ., and Graduate Sch. of the Chinese Academy o ...;College of Information and Electric Engineering, China Agricultural University, Beijing, China;College of Information and Electric Engineering, China Agricultural University, Beijing, China;College of Information and Electric Engineering, China Agricultural University, Beijing, China

  • Venue:
  • ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
  • Year:
  • 2007

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Abstract

Everyday, space missions involve the download, from space to ground, of huge amount of raw images that are stored in the ground stations geographically distributed. It is a practical pressing task to process these data resource in real time or almost real time and to effectively share spatial information among remote sensing community. Grid technology can provide access to a global distributed computing environment via authentication, authorization, negotiation and security tools. This paper discusses the key technologies of Grid-based special remotely sensed data processing node. First, the concept of Grid-based special remotely sensed data processing node is introduced. Following is the architecture and functions of this node. Based on this architecture, the tasks scheduling algorithm is presented. Finally we introduce the computing resource meta-module information registry and renewal mechanism of the Grid-based special remotely sensed data processing node for Spatial Information Grid (SIG).