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The Cloud Agnostic e-Science Analysis Platform
Nov.-Dec. 2011 (vol. 15 no. 6)
pp. 85-89
Ajith Ranabahu, Kno.e.sis, Wright State University
Paul Anderson, College of Charleston
Amit Sheth, Kno.e.sis, Wright State University

The amount of data being generated for e-Science domains has grown exponentially in the past decade, yet the adoption of new computational techniques in these fields hasn't seen similar improvements. The presented platform can exploit the power of cloud computing while providing abstractions for scientists to create highly scalable data processing workflows.

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Index Terms:
cloud computing, scientific workflows, domain specific languages
Citation:
Ajith Ranabahu, Paul Anderson, Amit Sheth, "The Cloud Agnostic e-Science Analysis Platform," IEEE Internet Computing, vol. 15, no. 6, pp. 85-89, Nov.-Dec. 2011, doi:10.1109/MIC.2011.159
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