DIaaS: Data-Intensive workflows as a service - Enabling easy composition and deployment of data-intensive workflows on Virtual Research Environments

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    W[2016AGUFMIN31C1769F]
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    LI["Linked Institutions (2)"]
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ADS bibcode
2016AGUFMIN31C1769F
year
2016
Listed Authors
Filgueira, R.
Ferreira da Silva, R.
Deelman, E.
Atkinson, M.
Listed Institutions
School of Informatics, University of Edinburgh, Edinburgh, United Kingdom Informatics, British Geological Survey Lyell Centre - BGS, Edinburgh, United Kingdom
USC Information Sciences Inst., Marina Del Rey, CA, United States
USC Information Sciences Inst., Marina Del Rey, CA, United States
School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

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