A study of data representations in Hadoop to optimize data storage and search performance of 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 event records, each of which consisting of ~100 bytes, all having the same probability to be searched or counted. Data f...

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Detalles Bibliográficos
Autores principales: Baranowski, Zbigniew, Barberis, Dario, Canali, Luca, Hrivnac, Julius, Toebbicke, Rainer
Lenguaje:eng
Publicado: 2016
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2217221

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