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Optimizing distributed file storage and processing engines for CERN's Large Hadron Collider using multi criteria partitioned replication
Throughout the last decades, distributed file systems and processing engines have been the primary choice for applications requiring access to large amounts of data. Since the introduction of the MapReduce paradigm, relational databases are being increasingly replaced by more efficient and scalable...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1145/3154273.3154320 http://cds.cern.ch/record/2800932 |