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1.
Using Kubernetes as an ATLAS computing site / ATLAS Collaboration
In recent years containerization has revolutionized cloud environments, providing a secure, lightweight, standardized way to package and execute software. [...]
ATL-SOFT-PROC-2020-007.
- 2020. - 7 p.
Original Communication (restricted to ATLAS) - Full text - Full text - Full text
2.
Managing the ATLAS Grid through Harvester / Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Alekseev, Aleksandr (Universidad Andres Bello) ; Berghaus, Frank (University of Victoria) ; Cameron, David (University of Oslo) ; De, Kaushik (The University of Texas at Arlington) ; Filipcic, Andrej (Jozef Stefan Institute) ; Glushkov, Ivan (The University of Texas at Arlington) ; Lin, Fahui (Academia Sinica, Taipei) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Magini, Nicolo (Iowa State University)
ATLAS Computing Management has identified the migration of all computing resources to Harvester, PanDA’s new workload submission engine, as a critical milestone for Run 3 and 4. [...]
ATL-SOFT-PROC-2020-006.
- 2020. - 7 p.
Original Communication (restricted to ATLAS) - Full text - Full text - Fulltext from publisher - Full text
3.
Harvester : an edge service harvesting heterogeneous resources for ATLAS / ATLAS Collaboration
The Production and Distributed Analysis (PanDA) system has been successfully used in the ATLAS experiment as a data-driven workload management system. [...]
ATL-SOFT-PROC-2018-029.
- 2018. - 7 p.
Original Communication (restricted to ATLAS) - Full text
4.
Harvester : An edge service harvesting heterogeneous resources for ATLAS / ATLAS Collaboration
The Production and Distributed Analysis (PanDA) system has been successfully used in the ATLAS experiment as a data-driven workload management system. The PanDA system has proven to be capable of operating at the Large Hadron Collider data processing scale over the last decade including the Run 1 and Run 2 data taking periods. [...]
ATL-SOFT-SLIDE-2018-400.- Geneva : CERN, 2018 - 14 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018

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