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TY - CONF AU - Boychenko, S. AU - Aguilera-Padilla, C. AU - Dragu, M. AU - Galilée, M.A. AU - Garnier, J.C. AU - Koza, M. AU - Krol, K.H. AU - Orlandi, R. AU - Poeschl, M.C. AU - Ribeiro, T.M. AU - Stamos, K.S. AU - Zenha-Rela, M. AU - Zerlauth, M. ED - Corvetti, Lou ED - Riches, Kathleen ED - Schaa, Volker RW TI - Towards a Second Generation Data Analysis Framework for LHC Transient Data Recording J2 - Proc. of ICALEPCS2015, Melbourne, Australia, 17-23 October 2015 C1 - Melbourne, Australia T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 15 LA - english AB - During the last two years, CERNs Large Hadron Collider (LHC) and most of its equipment systems were upgraded to collide particles at an energy level twice higher compared to the first operational period between 2010 and 2013. System upgrades and the increased machine energy represent new challenges for the analysis of transient data recordings, which have to be both dependable and fast. With the LHC having operated for many years already, statistical and trend analysis across the collected data sets is a growing requirement, highlighting several constraints and limitations imposed by the current software and data storage ecosystem. Based on several analysis use-cases, this paper highlights the most important aspects and ideas towards an improved, second generation data analysis framework to serve a large variety of equipment experts and operation crews in their daily work. PB - JACoW CP - Geneva, Switzerland SP - 802 EP - 805 KW - framework KW - data-analysis KW - operation KW - software KW - hardware DA - 2015/12 PY - 2015 SN - 978-3-95450-148-9 DO - 10.18429/JACoW-ICALEPCS2015-WEPGF046 UR - http://jacow.org/icalepcs2015/papers/wepgf046.pdf ER -