A Popularity Based Prediction and Data Redistribution Tool for ATLAS Distributed Data Management

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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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Detalles Bibliográficos
Autores principales: Beermann, T, Stewart, G A, Maettig, P
Lenguaje:eng
Publicado: 2014
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/1690335

Internet

http://cds.cern.ch/record/1690335

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