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A Popularity Based Prediction and Data Redistribution Tool for ATLAS Distributed Data Management
This paper presents a system to predict future data popularity for data-intensive systems, such as ATLAS distributed data management (DDM). Using these predictions it is possible to make a better distribution of data, helping to reduce the waiting time for jobs using with this data. This system is b...
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| Lenguaje: | eng |
| Publicado: |
2014
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| Acceso en línea: | http://cds.cern.ch/record/1670055 |
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