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Monitoring data visualization for ATLAS TDAQ transient storage
The transient storage of the ATLAS 1 data acquisition system records physics data at several GB/s. Its performance and reliability have a direct impact on the performance of the whole data acquisition system of ATLAS. Monitoring its performance is a key operational task, so a monitoring web applicat...
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Lenguaje: | eng |
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2018
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Acceso en línea: | http://cds.cern.ch/record/2635970 |
_version_ | 1780959851795447808 |
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author | Kamaras, Georgios |
author_facet | Kamaras, Georgios |
author_sort | Kamaras, Georgios |
collection | CERN |
description | The transient storage of the ATLAS 1 data acquisition system records physics data at several GB/s. Its performance and reliability have a direct impact on the performance of the whole data acquisition system of ATLAS. Monitoring its performance is a key operational task, so a monitoring web application exists for this purpose. I was in charge of integrating interactive plots to this application. I also aimed to improve the user experience, and participate in the evolution of the application’s features, robustness and performance. Through this work, many valuable lessons were learned, which I will also outline in the present document. |
id | cern-2635970 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
record_format | invenio |
spelling | cern-26359702019-09-30T06:29:59Zhttp://cds.cern.ch/record/2635970engKamaras, GeorgiosMonitoring data visualization for ATLAS TDAQ transient storageEngineeringComputing and ComputersThe transient storage of the ATLAS 1 data acquisition system records physics data at several GB/s. Its performance and reliability have a direct impact on the performance of the whole data acquisition system of ATLAS. Monitoring its performance is a key operational task, so a monitoring web application exists for this purpose. I was in charge of integrating interactive plots to this application. I also aimed to improve the user experience, and participate in the evolution of the application’s features, robustness and performance. Through this work, many valuable lessons were learned, which I will also outline in the present document.CERN-STUDENTS-Note-2018-067oai:cds.cern.ch:26359702018-04-23 |
spellingShingle | Engineering Computing and Computers Kamaras, Georgios Monitoring data visualization for ATLAS TDAQ transient storage |
title | Monitoring data visualization for ATLAS TDAQ transient storage |
title_full | Monitoring data visualization for ATLAS TDAQ transient storage |
title_fullStr | Monitoring data visualization for ATLAS TDAQ transient storage |
title_full_unstemmed | Monitoring data visualization for ATLAS TDAQ transient storage |
title_short | Monitoring data visualization for ATLAS TDAQ transient storage |
title_sort | monitoring data visualization for atlas tdaq transient storage |
topic | Engineering Computing and Computers |
url | http://cds.cern.ch/record/2635970 |
work_keys_str_mv | AT kamarasgeorgios monitoringdatavisualizationforatlastdaqtransientstorage |