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1.
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WLCG Dashboards with Unified Monitoring
/ Andrade, Pedro (CERN) ; Aimar, Alberto (CERN) ; Brundu, Simone (CERN) ; Bear, Borja Garrido (CERN) ; Borge, Gonzalo Menendez (CERN) ; Magnoni, Luca (CERN) ; Nicolau, Diogo Lima (CERN) ; Tsvetkov, Nikolay (CERN)
Monitoring of the CERN Data Centres and the WLCG infrastructure is now largely based on the new monitoring infrastructure provided by CERN IT. This is the result of the migration from several old in-house developed monitoring tools into a common monitoring infrastructure based on open source technologies such as Collectd, Flume, Kafka, Spark, InfluxDB, Grafana and others. [...]
2020 - 6 p.
- Published in : EPJ Web Conf. 245 (2020) 07049
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07049
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2.
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Erratic server behavior detection using machine learning on streams of monitoring data
/ Adam, Martin (ASCR, Prague) ; Magnoni, Luca (CERN) ; Pilát, Martin (Charles U., Prague (main)) ; Adamová, Dagmar (ASCR, Prague)
With the explosion of the number of distributed applications, a new dynamic server environment emerged grouping servers into clusters, utilization of which depends on the current demand for the application. To provide reliable and smooth services it is crucial to detect and fix possible erratic behavior of individual servers in these clusters. [...]
2020 - 8 p.
- Published in : EPJ Web Conf. 245 (2020) 07002
Fulltext: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07002
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3.
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4.
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5.
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MONIT: Monitoring the CERN Data Centres and the WLCG Infrastructure
/ Aimar, Alberto (CERN) ; Aguado Corman, Asier (Oviedo U.) ; Andrade, Pedro (CERN) ; Delgado Fernandez, Javier (CERN) ; Garrido Bear, Borja (CERN) ; Karavakis, Edward (CERN) ; Kulikowski, Dominik Marek (Wroclaw Tech. U.) ; Magnoni, Luca (CERN)
The new unified monitoring architecture (MONIT) for the CERN Data Centres and for the WLCG Infrastructure is based on established open source technologies to collect, stream, store and access monitoring data. The previous solutions, based on in-house development and commercial software, have been replaced with widely- recognized technologies such as Collectd, Kafka, Spark, Elasticsearch, InfluxDB, Grafana and others. [...]
2019 - 8 p.
- Published in : EPJ Web Conf. 214 (2019) 08031
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.08031
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6.
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Detection of erratic behavior in load balanced clusters of servers using a machine learning based method
/ Adam, Martin (ASCR, Prague ; CERN) ; Magnoni, Luca (CERN) ; Pilát, Martin (Charles U.) ; Adamová, Dagmar (ASCR, Prague)
With the explosion of the number of distributed applications, a new dynamic server environment emerged grouping servers into clusters, whose utilization depends on the current demand for the application. To provide reliable and smooth services it is crucial to detect and fix possible erratic behavior of individual servers in these clusters. [...]
2019 - 6 p.
- Published in : EPJ Web Conf. 214 (2019) 08030
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.08030
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7.
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8.
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The Control and Configuration Software of the ATLAS Data Acquisition System: Upgrades for LHC Run 2
/ Aleksandrov, Igor (Joint Institute for Nuclear Research) ; Anders, Gabriel (CERN) ; Avolio, Giuseppe (CERN) ; Caprini, Mihai (National Institute of Physics and Nuclear Engineering (IFIN-HH)) ; Corso-Radu, Alina (University of California, Irvine) ; D'ascanio, Matteo (CERN) ; De Castro Vargas Fernandes, Julio (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) ; Kazarov, Andrei (Petersburg Nuclear Physics Institute) ; Kolobara, Bernard (CERN) ; Lankford, Andrew (University of California, Irvine) et al.
The Trigger and Data Acquisition (TDAQ) system of the ATLAS detector at the Large Hadron Collider (LHC) at CERN is composed of a large number of distributed hardware and software components which in a coordinated manner provide the data-taking functionality of the overall system. The Controls and Configuration (CC) software offers services to configure, control and monitor the TDAQ system. [...]
ATL-DAQ-SLIDE-2016-029.-
Geneva : CERN, 2016 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015
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9.
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Advanced monitoring with complex stream processing
/ MAGNONI, Luca (speaker) (CERN)
Making sense of metrics and logs for service monitoring can be a complicated task. Valuable information is normally scattered across several streams of monitoring data, requiring aggregation, correlation and time-based analysis to promptly detect problems and failures. [...]
2015 - 3251.
IT Technical Forum (ITTF); Advanced monitoring with complex stream processing
External links: Talk details; Event details
In : Advanced monitoring with complex stream processing
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10.
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Upgrade of the ATLAS Control and Configuration Software for Run 2
/ Avolio, Giuseppe (CERN) ; Aleksandrov, Igor (Joint Institute for Nuclear Research) ; Anders, Gabriel (CERN) ; Caprini, Mihai (National Institute of Physics and Nuclear Engineering (IFIN-HH)) ; Corso-Radu, Alina (University of California, Irvine) ; D'ascanio, Matteo (CERN) ; De Castro Vargas Fernandes, Julio (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) ; Dova, Maria-Teresa (Universidad National de La Plata (UNLP)) ; Kazarov, Andrei (Petersburg Nuclear Physics Institute) ; Klopov, Nikolai (Petersburg Nuclear Physics Institute) et al.
The ATLAS data acquisition (DAQ) system is controlled and configured via a software infrastructure that takes care of coherently orchestrating the data taking. While the overall architecture, established at the end of the 90’s, has proven to be solid and flexible, many software components have undergone a complete redesign or re-implementation in 2013/2014 in order to fold-in the additional requirements that appeared in the course of LHC’s Run 1, to profit from new technologies and to re-factorise and cleanup software. [...]
ATL-DAQ-SLIDE-2015-172.-
Geneva : CERN, 2015 - 1 p.
Fulltext: POSTER - PDF; ATL-DAQ-SLIDE-2015-172 - PDF; External link: Original Communication (restricted to ATLAS)
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015
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