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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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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
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author Barberis, Dario
Formica, Andrea
Gallas, Elizabeth
Oda, Susumu
Rinaldi, Lorenzo
Rybkin, Grigori
Verducci, Monica
author_facet Barberis, Dario
Formica, Andrea
Gallas, Elizabeth
Oda, Susumu
Rinaldi, Lorenzo
Rybkin, Grigori
Verducci, Monica
author_sort Barberis, Dario
collection CERN
description 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.
id cern-2252637
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22526372019-10-15T15:19:49Zdoi:10.1088/1742-6596/898/4/042028http://cds.cern.ch/record/2252637engBarberis, DarioFormica, AndreaGallas, ElizabethOda, SusumuRinaldi, LorenzoRybkin, GrigoriVerducci, MonicaCollecting conditions usage metadata to optimize current and future ATLAS software and processingParticle Physics - ExperimentConditions 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.ATL-SOFT-PROC-2017-050oai:cds.cern.ch:22526372017-02-16
spellingShingle Particle Physics - Experiment
Barberis, Dario
Formica, Andrea
Gallas, Elizabeth
Oda, Susumu
Rinaldi, Lorenzo
Rybkin, Grigori
Verducci, Monica
Collecting conditions usage metadata to optimize current and future ATLAS software and processing
title Collecting conditions usage metadata to optimize current and future ATLAS software and processing
title_full Collecting conditions usage metadata to optimize current and future ATLAS software and processing
title_fullStr Collecting conditions usage metadata to optimize current and future ATLAS software and processing
title_full_unstemmed Collecting conditions usage metadata to optimize current and future ATLAS software and processing
title_short Collecting conditions usage metadata to optimize current and future ATLAS software and processing
title_sort collecting conditions usage metadata to optimize current and future atlas software and processing
topic Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/898/4/042028
http://cds.cern.ch/record/2252637
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AT odasusumu collectingconditionsusagemetadatatooptimizecurrentandfutureatlassoftwareandprocessing
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