The Community for Technology Leaders
Green Image
Issue No. 04 - April (2008 vol. 41)
ISSN: 0018-9162
pp: 33-40
Yong Xue , State Key Laboratory of Remote Sensing Science
Wei Wan , State Key Laboratory of Remote Sensing Science
Yingjie Li , Graduated University of the Chinese Academy of Sciences
Jie Guang , State Key Laboratory of Remote Sensing Science
Linyian Bai , State Key Laboratory of Remote Sensing Science
Ying Wang , State Key Laboratory of Remote Sensing Science
Jianwen Ai , State Key Laboratory of Remote Sensing Science
ABSTRACT
The remote sensing information service grid node (RSIN) is a tool for dealing with climate change and quantitative environmental monitoring. Based on the high-throughput computing grid, RSIN enables a workflow management system for data placement. The accompanying unified data-and-computation-schedule algorithm helps load balancing between and within workflow steps.
INDEX TERMS
data-intensive computing, distributed system, grid computing, remote sensing
CITATION

Y. Xue et al., "Quantitative Retrieval of Geophysical Parameters Using Satellite Data," in Computer, vol. 41, no. , pp. 33-40, 2008.
doi:10.1109/MC.2008.132
92 ms
(Ver 3.3 (11022016))