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Abstract graphical Grid workflow can adapt the dynamic nature of Grid environment. It is more intuitive and convenient for user to apply Grid services solving the remote sensing distributable computing problems than concrete Grid workflows. This paper firstly introduces the feasibilities and advantages of abstract Grid workflow applying for remote sensing quantitative retrieval services. And then...
The terabytes of data processed and the tight-coupling remote sensing algorithms can't be scheduled by grid platform directly. Workflow for Grid computing is an application way to integrate distributed data and algorithms in a Grid computing environment. This paper firstly introduces the advantages and shortage of Grid computing applying for remote sensing quantitative retrieval service. And then...
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.
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