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EVALUATING KUBERNETES AS AN ORCHESTRATOR OF THE HIGH LEVEL TRIGGER COMPUTING FARM OF THE TRIGGER AND DATA ACQUISITION SYSTEM OF THE ATLAS EXPERIMENT AT THE LARGE HADRON COLLIDER
The ATLAS experiment at the LHC relies on a complex and distributed Trigger and Data Acquisition (TDAQ) system to gather and select particle collision data. The High Level Trigger (HLT) component of the TDAQ system is responsible for executing advanced selection algorithms, reducing the data rate to...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2632668 |