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Data intensive ATLAS workflows in the Cloud
This contribution reports on the feasibility of executing data intensive workflows on Cloud infrastructures. In order to assess this, the metric ETC = Events/Time/Cost is formed, which quantifies the different workflow and infrastructure configurations that are tested against each other. In these te...
Autores principales: | Rzehorz, Gerhard Ferdinand, Keeble, Oliver, Kawamura, Gen, Quadt, Arnulf |
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Lenguaje: | eng |
Publicado: |
2016
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2221182 |
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