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A Modernized Architecture for the Post Mortem System at CERN / Barth, Jonas (CERN) ; Bogyai, Filip (CERN) ; Garnier, Jean-Christophe (CERN) ; Majewski, Marcin (CERN) ; Martins Ribeiro, Tiago (CERN) ; Mnich, Aleksandra (CERN) ; Pocwierz, Maciej (CERN) ; Selvek, Robert (CERN) ; Simpson, Robert (CERN) ; Stanisz, Anita (CERN) et al.
The control system of the accelerators at CERN stores and analyzes more than 200 million dumps of high resolution data recordings every year in the Post Mortem (PM) system. A continuous increase in the complexity of the Large Hadron Collider’s (LHC) systems and the desire to collect more accurate data requires continuous improvement of the PM system. [...]
2022 - 4 p. - Published in : JACoW IPAC 2022 (2022) 1557-1560 Fulltext: PDF;
In : 13th International Particle Accelerator Conference (IPAC 2022), Bangkok, Thailand, 12 - 17 Jun 2022, pp.1557-1560

Big Data Tools and Cloud Services for High Energy Physics Analysis in TOTEM Experiment / Avati, Valentina (AGH-UST, Cracow) ; Blaszkiewicz, Milosz (AGH-UST, Cracow) ; Bocchi, Enrico (CERN) ; Canali, Luca (CERN) ; Castro, Diogo (CERN) ; Cervantes, Javier (CERN) ; Grzanka, Leszek (AGH-UST, Cracow) ; Guiraud, Enrico (CERN) ; Kaspar, Jan (CERN) ; Kothuri, Prasanth (CERN) et al.
The High Energy Physics community has been developing dedicated solutions for processing experiment data over decades. However, with recent advancements in Big Data and Cloud Services, a question of application of such technologies in the domain of physics data analysis becomes relevant. [...]
2019 - 2 p. - Published in : 10.1109/UCC-Companion.2018.00018
In : 11th IEEE/ACM International Conference on Utility and Cloud Computing Companion, Zurich, Switzerland, 17 - 20 Dec 2018, pp.5-6

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