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Collecting conditions usage metadata to optimize current and future ATLAS software and processing

Conditions data (for example: alignment, calibration, data quality) are used extensively in the processing of real and simulated data in ATLAS. The volume and variety of the conditions data needed by different types of processing are quite diverse, so optimizing its access requires a careful underst...

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Detalles Bibliográficos
Autores principales: Barberis, Dario, Formica, Andrea, Gallas, Elizabeth, Oda, Susumu, Rinaldi, Lorenzo, Rybkin, Grigori, Verducci, Monica
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/4/042028
http://cds.cern.ch/record/2252637
Descripción
Sumario:Conditions data (for example: alignment, calibration, data quality) are used extensively in the processing of real and simulated data in ATLAS. The volume and variety of the conditions data needed by different types of processing are quite diverse, so optimizing its access requires a careful understanding of conditions usage patterns. These patterns can be quantified by mining representative log files from each type of processing and gathering detailed information about conditions usage for that type of processing into a central repository.