Document Type
Article
Publication Date
2011
Abstract
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.
Repository Citation
Ranabahu, A. H.,
Anderson, P. E.,
& Sheth, A. P.
(2011). The Cloud Agnostic e-Science Analysis Platform. IEEE Internet Computing, 15 (6), 85-89.
https://corescholar.libraries.wright.edu/knoesis/609
DOI
10.1109/MIC.2011.159
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Posted with permission from IEEE.