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Multi-criteria partitioning on distributed file systems for efficient accelerator data analysis and performance optimization
Since the introduction of the MapReduce paradigm, relational databases are being increasingly replaced by more efficient and scalable architectures, in particular in environments where a query will process Terabtes or even Petabytes of data in a single execution. The same tendency is observed at CER...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.18429/JACoW-ICALEPCS2017-THPHA036 http://cds.cern.ch/record/2305508 |