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Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering
July-Aug. 2013 (vol. 15 no. 4)
pp. 10-18
Manish Parashar, Rutgers University
Moustafa AbdelBaky, Rutgers University
Ivan Rodero, Rutgers University
Aditya Devarakonda, Rutgers University
Clouds are rapidly joining high-performance computing (HPC) systems, clusters, and grids as viable platforms for scientific exploration and discovery. As a result, understanding application formulations and usage modes that are meaningful in such a hybrid infrastructure, and how application workflows can effectively utilize it, is critical. Here, three hybrid HPC/grid and cloud cyber infrastructure usage modes are explored: HPC in the Cloud, HPC plus Cloud, and HPC as a Service, presenting illustrative scenarios in each case and outlining benefits, limitations, and research challenges.
Index Terms:
Cloud computing,Metasearch,High performance computing,Computer architecture,HPC,cloud computing,high-performance computing,ensemble applications,infrastructure-as-a-service,hybrid infrastructure,cloud federation,scientific computing
Citation:
Manish Parashar, Moustafa AbdelBaky, Ivan Rodero, Aditya Devarakonda, "Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering," Computing in Science and Engineering, vol. 15, no. 4, pp. 10-18, July-Aug. 2013, doi:10.1109/MCSE.2013.49
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