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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...
Autores principales: | , , , , , , |
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Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/4/042028 http://cds.cern.ch/record/2252637 |
_version_ | 1780953523414892544 |
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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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