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Organising scientific data by dataflow optimisation on the petascale
Scientific applications on the Grid are in most cases heavily data-dependent. Therefore, improving scheduling decisions based on the co-allocation of data and jobs becomes a primary issue. Hence, it is crucial to analyse the behaviour of existing data management systems in order to provide accurate...
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| Lenguaje: | eng |
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2008
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| Acceso en línea: | http://cds.cern.ch/record/1123358 |