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.
Collecting conditions usage metadata to optimize current and future ATLAS software and processing / Rinaldi, L.; Barberis, D.; Formica, A.; Gallas, E.J.; Oda, S.; Rybkin, G.; Verducci, M.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - ELETTRONICO. - 898:4(2017), pp. 042028.042028-042028.042035. [10.1088/1742-6596/898/4/042028]
Collecting conditions usage metadata to optimize current and future ATLAS software and processing
Rinaldi, L.
;
2017
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
