Title :
Quantitative Retrieval of Geophysical Parameters Using Satellite Data
Author :
Xue, Yong ; Wan, Wei ; Li, Yingjie ; Guang, Jie ; Bai, Linyian ; Wang, Ying ; Ai, Jianwen
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing
fDate :
4/1/2008 12:00:00 AM
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.
Keywords :
geophysics computing; grid computing; remote sensing; resource allocation; scheduling; climate change; data placement; data-and-computation-schedule algorithm; geophysical parameters; high-throughput computing grid; load balancing; quantitative environmental monitoring; quantitative retrieval; remote sensing information service grid node; satellite data; workflow management system; Aerosols; Condition monitoring; Grid computing; Image storage; Information retrieval; MODIS; Pipelines; Processor scheduling; Remote monitoring; Satellites; data-intensive computing; distributed system; grid computing; remote sensing;
DOI :
10.1109/MC.2008.132
