eScience and Big Data Workflows in Clouds
A Taxonomy and Survey
A.C. Zhou; B. He; S. Ibrahim
Abstract
Cloud computing has evolved as a popular computing infrastructure for many applications. With (big) data acquiring a crucial role in eScience, efforts have been made recently exploring how to efficiently develop and deploy scientific applications on the unprecedentedly scalable cloud infrastructures. We review recent efforts in developing and deploying scientific computing applications in the cloud. In particular, we introduce a taxonomy specifically designed for scientific computing in the cloud, and further review the taxonomy with four major kinds of science applications, including life sciences, physics sciences, social and ...
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