Cloud paradigms and practices for computational and data-enabled science and engineering

Manish Parashar; Moustafa Abdelbaky; Ivan Rodero; Aditya Devarakonda

doi:10.1109/MCSE.2013.49

Cloud paradigms and practices for computational and data-enabled science and engineering

Manish Parashar, Moustafa Abdelbaky, Ivan Rodero, Aditya Devarakonda

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

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.

Original language	English (US)
Article number	6530588
Pages (from-to)	10-18
Number of pages	9
Journal	Computing in Science and Engineering
Volume	15
Issue number	4
DOIs	https://doi.org/10.1109/MCSE.2013.49
State	Published - Dec 4 2013

All Science Journal Classification (ASJC) codes

Computer Science(all)
Engineering(all)

Keywords

HPC
cloud computing
cloud federation
ensemble applications
high-performance computing
hybrid infrastructure
infrastructure-as-a-service
scientific computing

Access to Document

10.1109/MCSE.2013.49

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