Providing the computing and data to the physicists: Overview of the ATLAS distributed computing system
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F21%3A00546043" target="_blank" >RIV/68378271:_____/21:00546043 - isvavai.cz</a>
Výsledek na webu
<a href="https://pos.sissa.it/390/926/pdf" target="_blank" >https://pos.sissa.it/390/926/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22323/1.390.0926" target="_blank" >10.22323/1.390.0926</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Providing the computing and data to the physicists: Overview of the ATLAS distributed computing system
Popis výsledku v původním jazyce
The ATLAS experiment at CERN uses more than 150 sites in the WLCG to process and analyze data recorded by the LHC. The grid workflow system PanDA routinely utilizes more than 400 thousand CPU cores of those sites. The data management system Rucio manages about half an exabyte of detector and simulation data distributed among these sites. With the ever-improving performance of the LHC, more data is expected to come and the ATLAS computing needs to evolve and adapt to that. Disk space will become more scarce which should be alleviated by more active usage of tapes and caches and new smaller data formats. Grid jobs can run not just on the WLCG sites but also on opportunistic resources, i.e. clouds and HPCs. A new grafana-based monitoring system facilitates operation of the ATLAS computing. This presentation will review and explain the improvements put in place for the upcoming Run 3 and will provide an outlook to the many improvements needed for the HL-LHC.
Název v anglickém jazyce
Providing the computing and data to the physicists: Overview of the ATLAS distributed computing system
Popis výsledku anglicky
The ATLAS experiment at CERN uses more than 150 sites in the WLCG to process and analyze data recorded by the LHC. The grid workflow system PanDA routinely utilizes more than 400 thousand CPU cores of those sites. The data management system Rucio manages about half an exabyte of detector and simulation data distributed among these sites. With the ever-improving performance of the LHC, more data is expected to come and the ATLAS computing needs to evolve and adapt to that. Disk space will become more scarce which should be alleviated by more active usage of tapes and caches and new smaller data formats. Grid jobs can run not just on the WLCG sites but also on opportunistic resources, i.e. clouds and HPCs. A new grafana-based monitoring system facilitates operation of the ATLAS computing. This presentation will review and explain the improvements put in place for the upcoming Run 3 and will provide an outlook to the many improvements needed for the HL-LHC.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20205 - Automation and control systems
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PoS - Proceedings of Science
ISBN
—
ISSN
1824-8039
e-ISSN
—
Počet stran výsledku
6
Strana od-do
926
Název nakladatele
Sissa Medilab srl
Místo vydání
Trieste
Místo konání akce
virtual meeting
Datum konání akce
28. 7. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—