Open Access
| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 04025 | |
| Number of page(s) | 8 | |
| Section | T4 - Data handling | |
| DOI | https://doi.org/10.1051/epjconf/201921404025 | |
| Published online | 17 September 2019 | |
- ATLAS Collaboration, "The ATLAS Experiment at the CERN Large Hadron Collider", JINST 3, S08003 (2008) [Google Scholar]
- C Eck et al., "LHC computing Grid: Technical Design Report”, CERN-LHCC-2005-024 (2005) [Google Scholar]
- J Catmore et al., “A new petabyte-scale data derivation framework for ATLAS”, J. Phys.:Conf. Ser. 664, 072007 (2015) [Google Scholar]
- V Garonne et al., “Rucio – The next generation of large scale distributed system forATLAS Data Management”, J. Phys.: Conf. Ser. 513, 042021 (2014) [CrossRef] [Google Scholar]
- V Garonne et al., “The ATLAS Distributed Data Management project: Past and Future”, J. Phys.: Conf. Ser. 396, 032045 (2012) [CrossRef] [Google Scholar]
- T Maeno et al., “Evolution of the ATLAS PanDA workload management system for ex-ascale computational science”, J. Phys.: Conf. Ser. 513, 032062 (2014) [CrossRef] [Google Scholar]
- F H Barreiro et al., “The ATLAS Production System Evolution: New Data Processing and Analysis Paradigm for the LHC Run2 and High-Luminosity”, J. Phys.: Conf. Ser. 898, 052016 (2017) [CrossRef] [Google Scholar]
- P Nilsson et al., “Next Generation PanDA Pilot for ATLAS and Other Experiments”, J. Phys.: Conf. Ser. 513, 032071 (2014) [CrossRef] [Google Scholar]
- D Zang et al., “The ATLAS DDM Tracer monitoring framework”,J. Phys.: Conf. Ser. 396, 032119 (2012) [CrossRef] [Google Scholar]
- T Beermann et al., “C3PO - A Dynamic Data Placement Agent for ATLAS Distributed Data Management”, J. Phys.: Conf. Ser. 898, 062012 (2017) [CrossRef] [Google Scholar]
- M Magoni, “Development of a model to predict ATLAS data popularity using machine learning techniques" , Bachelor thesis University of Pavia (2017) [Google Scholar]
- Y Freund and R E Schapire, “A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting”, Journal of Computer and System Sciences 55, 119–139 (1997) [Google Scholar]
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