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TY - CONF AU - Wegrzynek, A. AU - Chibante Barroso, V. AU - Vino, G. ED - Schaa, Volker RW ED - Costa, Isidre ED - Fernández, David ED - Matilla, Ãscar TI - Monitoring the New ALICE Online-Offline Computing System J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017 C1 - Barcelona, Spain T2 - International Conference on Accelerator and Large Experimental Control Systems T3 - 16 LA - english AB - ALICE (A Large Ion Collider Experiment) particle detector has been successfully collecting physics data since 2010. Currently, it is in preparations for a major upgrade of the computing system, called O2 (Online-Offline). The O2 system will consist of 268 FLPs (First Level Processors) equipped with readout cards and 1500 EPNs (Event Processing Node) performing data aggregation, calibration, reconstruction and event building. The system will readout 27 Tb/s of raw data and record tens of PBs of reconstructed data per year. To allow an efficient operation of the upgraded experiment, a new Monitoring subsystem will provide a complete overview of the O2 computing system status. The O2 Monitoring subsystem will collect up to 600 kHz of metrics. It will consist of a custom monitoring library and a toolset to cover four main functional tasks: collection, processing, storage and visualization. This paper describes the Monitoring subsystem architecture and the feature set of the monitoring library. It also shows the results of multiple benchmarks, essential to ensure performance requirements. In addition, it presents the evaluation of pre-selected tools for each of the functional tasks. PB - JACoW CP - Geneva, Switzerland SP - 195 EP - 200 KW - ion KW - monitoring KW - network KW - detector KW - database DA - 2018/01 PY - 2018 SN - 978-3-95450-193-9 DO - 10.18429/JACoW-ICALEPCS2017-TUBPA02 UR - http://jacow.org/icalepcs2017/papers/tubpa02.pdf ER -