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A dashboard for the Italian computing in ALICE
A dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and...
Autores principales: | , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/898/9/092054 http://cds.cern.ch/record/2296674 |
_version_ | 1780956910123483136 |
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author | Elia, D Vino, G Bagnasco, S Crescente, A Donvito, G Franco, A Lusso, S Mura, D Piano, S Platania, G |
author_facet | Elia, D Vino, G Bagnasco, S Crescente, A Donvito, G Franco, A Lusso, S Mura, D Piano, S Platania, G |
author_sort | Elia, D |
collection | CERN |
description | A dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and to compare information extracted from different sources for debugging purposes. To overcome these limitations a dedicated ALICE dashboard has been designed and implemented in each of the ALICE Tier-2 sites in Italy: in particular, it provides a single, interactive and easily customizable graphical interface where heterogeneous data are presented. The dashboard is based on two main ingredients: an open source time-series database and a dashboard builder tool for visualizing time-series metrics. Various sensors, able to collect data from the multiple data sources, have been also written. A first version of a national computing dashboard has been implemented using a specific instance of the builder to gather data from all the local databases. |
id | oai-inspirehep.net-1638636 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | oai-inspirehep.net-16386362021-02-09T10:06:10Zdoi:10.1088/1742-6596/898/9/092054http://cds.cern.ch/record/2296674engElia, DVino, GBagnasco, SCrescente, ADonvito, GFranco, ALusso, SMura, DPiano, SPlatania, GA dashboard for the Italian computing in ALICEComputing and ComputersA dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and to compare information extracted from different sources for debugging purposes. To overcome these limitations a dedicated ALICE dashboard has been designed and implemented in each of the ALICE Tier-2 sites in Italy: in particular, it provides a single, interactive and easily customizable graphical interface where heterogeneous data are presented. The dashboard is based on two main ingredients: an open source time-series database and a dashboard builder tool for visualizing time-series metrics. Various sensors, able to collect data from the multiple data sources, have been also written. A first version of a national computing dashboard has been implemented using a specific instance of the builder to gather data from all the local databases.oai:inspirehep.net:16386362017 |
spellingShingle | Computing and Computers Elia, D Vino, G Bagnasco, S Crescente, A Donvito, G Franco, A Lusso, S Mura, D Piano, S Platania, G A dashboard for the Italian computing in ALICE |
title | A dashboard for the Italian computing in ALICE |
title_full | A dashboard for the Italian computing in ALICE |
title_fullStr | A dashboard for the Italian computing in ALICE |
title_full_unstemmed | A dashboard for the Italian computing in ALICE |
title_short | A dashboard for the Italian computing in ALICE |
title_sort | dashboard for the italian computing in alice |
topic | Computing and Computers |
url | https://dx.doi.org/10.1088/1742-6596/898/9/092054 http://cds.cern.ch/record/2296674 |
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