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Cloud computing has become a widely used solution for efficiently provisioning computational and storage resources. Meanwhile, it is essential to provide customizable scientific data analytic platforms for researchers to conduct their personalized data intensive analysis. The integration of scientific data analytics and Cloud computing has the potential to improve resource utilization and facilitate...
At the era of data driven science discovery, it is essential to provide customizable scientific data analytic platforms for researchers to conduct their personalized data intensive analysis. Science Gateway has been a viable solution to enabling scientists to run scientific simulations, data analysis, and visualization through their web browsers. But most science gateway frameworks are designed for...
In an e-Science data infrastructure, access control is a vital component to facilitate the management of the collective data and computing resources shared by researchers from geographically distributed locations. But conventional virtual organization based access control frameworks are not suitable for self-organizing, ad-hoc and opportunistic scientific collaborations, in which scientists can easily...
Satellite data products derived from the remote sensing observations describe features of the land, ocean and atmosphere. And by data processing, they can be used to study processes and trends on local/global scale for real-time environmental research and applications. However, the advances of cutting-edge remote sensing technology bring the challenge of data deluge for satellite data analysis and...
Problem solving environments (PSEs) are increasingly important for scientific discovery. Today's most challenging problems often require multi-disciplinary teams, the ability to analyze very large amounts of data, and the need to rely on infrastructure built by others rather than reinventing solutions for each science team. The TeraGrid Science Gateways program recognizes these challenges and works...
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