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A study of data representation in Hadoop to optimise data storage and search performance for the ATLAS EventIndex
This paper reports on the activities aimed at improving the architecture and performance of the ATLAS EventIndex implementation in Hadoop. The EventIndex contains tens of billions of event records, each of which consists of ∼100 bytes, all having the same probability to be searched or counted. Data...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/6/062020 http://cds.cern.ch/record/2244442 |