Journal
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Volume -, Issue -, Pages 487-490Publisher
IEEE
DOI: 10.1109/IGARSS.2012.6351380
Keywords
Remote Sensing; Grid Computing; three; four; five
Funding
- Ministry of Science and Technology (MOST) of China [2009CB723906]
- National Natural Science Foundation of China [41120114001]
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The Remote Sensing Quantitative Retrieval is not only a Compute-intensive problem, but also a Data-intensive problem. One of the most effective solutions is Grid Computing platform built on the basis of network, which is a scalable virtual unified platform with unlimited computing power and storage capacity. The RSSN (Remote Sensing Information Service Grid Node) is a PC cluster for Remote Sensing Quantitative Retrieval. It was used for producing aerosol optical depth (AOD) production covered the land area of Asia. We designed the cluster as a hierarchical one, and achieved a Global Task Scheduler for the workflow process, improved the system performance to some extent.
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