Optimizing access to conditions data in ATLAS event data processing

Lorenzo Rinaldi; Elizabeth J Gallas; Andrea Formica

doi:10.1051/epjconf/201921404051

All issues

Volume 214 (2019)

EPJ Web Conf., 214 (2019) 04051

References

Open Access

Issue		EPJ Web Conf. Volume 214, 2019 23^rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)


Article Number		04051
Number of page(s)		7
Section		T4 - Data handling
DOI		https://doi.org/10.1051/epjconf/201921404051
Published online		17 September 2019

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[1] The ATLAS Collaboration, JINST 3 S08003 (2008); http://cern.ch/atlas/ [Google Scholar]

[2] R. Trentadue et al., LCG Persistency Framework (CORAL,COOL, POOL): status and outlook in 2012, J. Phys.: Conf. Series 396 053067 (2012) http://iopscience.iop.org/article/10.1088/1742-6596/331/4/042043 [Google Scholar]

[3] V. Garonne et al., Rucio – The next generation of large scale distributed system for ATLAS data management, J. Phys. Conf. Ser. 513 042021 (2014) http://iopscience.iop.org/article/10.1088/1742-6596/513/4/042021 [Google Scholar]

[4] P. Calafiura et al., Running ATLAS workloads within massively parallel distributed applications using Athena multi-process framework (AthenaMP), J. Phys.: Conf. Series 664 072050 (2015) http://iopscience.iop.org/article/10.1088/1742-6596/664/7/072050 [CrossRef] [Google Scholar]

[5] D. Barberis et al., Evolution of grid-wide access to database resident information in ATLAS using Frontier, J. Phys.: Conf. Series 396 052025 (2012) http://iopscience.iop.org/1742-6596/396/5/052025 [CrossRef] [Google Scholar]

[6] P. Buncic et al., CernVM – a virtual software appliance for LHC applications, J. Phys.:Conf. Ser. 219 042003 (2010) http://iopscience.iop.org/article/10.1088/1742-6596/219/4/042003/meta [CrossRef] [Google Scholar]

[7] L. Rinaldi, A. Formica E.J. Gallas, N. Ozturk, S. Roe, Conditions evolution of an experiment in mid-life, without the crisis (in ATLAS), this conference.https://indico.cern.ch/event/587955/contributions/2936820/ [Google Scholar]

[8] E.J. Gallas ,S. Albrand, M., Borodin, A., Formica, Utility of collecting metadata to manage a large scale conditions database in ATLAS, J. Phys.: Conf. Series 513 042020 (2014) http://iopscience.iop.org/article/10.1088/1742-6596/513/4/042020 [CrossRef] [Google Scholar]

[9] L. Rinaldi et al., Collecting conditions usage metadata to optimize current and future ATLAS software and processing, J. Phys.: Conf. Series 898 042028 (2017) http://iopscience.iop.org/article/10.1088/1742-6596/898/4/042028 [CrossRef] [Google Scholar]

[10] M. Alef et al., Benchmarking Cloud Resources for HEP, J. Phys.: Conf. Ser. 898 092056 (2017) http://iopscience.iop.org/article/10.1088/1742-6596/898/9/092056 [CrossRef] [Google Scholar]