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Title Monitoring the New ALICE Online-Offline Computing System
  • A. Wegrzynek, V. Chibante Barroso
    CERN, Geneva, Switzerland
  • G. Vino
    INFN-Bari, Bari, Italy
Abstract 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.
Paper download TUBPA02.PDF [0.462 MB / 6 pages]
Slides download TUBPA02_TALK.PDF [11.846 MB]
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Conference ICALEPCS2017, Barcelona, Spain
Series International Conference on Accelerator and Large Experimental Control Systems (16th)
Proceedings Link to full ICALEPCS2017 Proccedings
Session Data Management and Processing
Date 10-Oct-17   11:30–13:00
Main Classification Data Management and Processing
Keywords ion, monitoring, network, detector, database
Publisher JACoW, Geneva, Switzerland
Editors Volker RW Schaa (GSI, Darmstadt, Germany); Isidre Costa (ALBA-CELLS, Cerdanyola del Vallès, Spain); David Fernández (ALBA-CELLS, Cerdanyola del Vallès, Spain); Óscar Matilla (ALBA-CELLS, Cerdanyola del Vallès, Spain)
ISBN 978-3-95450-193-9
Published January 2018
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