TY - JOUR
T1 - Collecting conditions usage metadata to optimize current and future ATLAS software and processing
AU - Rinaldi, L.
AU - Barberis, D.
AU - Formica, A.
AU - Gallas, E. J.
AU - Oda, S.
AU - Rybkin, G.
AU - Verducci, M.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2017/11/23
Y1 - 2017/11/23
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85038431229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85038431229&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/898/4/042028
DO - 10.1088/1742-6596/898/4/042028
M3 - Conference article
AN - SCOPUS:85038431229
SN - 1742-6588
VL - 898
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 4
M1 - 042028
T2 - 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016
Y2 - 10 October 2016 through 14 October 2016
ER -