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1.
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
2.
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
3.
Consolidation of cloud computing in ATLAS / Taylor, Ryan P. (University of Victoria) ; Cordeiro, Cristovao (CERN) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Kouba, Tomas (Academy of Sciences of the Czech Republic, Institute of Physics) ; Love, Peter (Lancaster University, Department of Physics) ; Mcnab, Andrew (School of Physics and Astronomy, University of Manchester) ; Schovancova, Jaroslava (CERN Tier-0) ; Sobie, Randall (University of Victoria) ; Giordano, Domenico (CERN)
Throughout the first half of LHC Run 2, ATLAS cloud computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. [...]
ATL-SOFT-PROC-2017-002.
- 2017. - 8 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access Article
4.
Consolidation of Cloud Computing in ATLAS / Taylor, Ryan P. (University of Victoria) ; Cordeiro, Cristovao (CERN) ; Di Girolamo, Alessandro (CERN) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Kouba, Tomas (Academy of Sciences of the Czech Republic, Institute of Physics and Institute for Computer Science) ; Love, Peter (Lancaster University, Department of Physics) ; Mcnab, Andrew (School of Physics and Astronomy, University of Manchester) ; Schovancova, Jaroslava (The University of Texas at Arlington) ; Sobie, Randall (University of Victoria) /ATLAS Collaboration
Throughout the first year of LHC Run 2, ATLAS Cloud Computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS Cloud Computing. [...]
ATL-SOFT-SLIDE-2016-657.- Geneva : CERN, 2016 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
5.
Scaling up ATLAS Event Service to production levels on opportunistic computing platforms / Benjamin, Douglas (Duke University, Department of Physics) ; Caballero, Jose (Brookhaven National Laboratory (BNL)) ; Ernst, Michael (Brookhaven National Laboratory (BNL)) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Lesny, David (University of Illinois at Urbana-Champaign) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; van Gemmeren, Peter (Argonne National Laboratory) et al.
Continued growth in public cloud and HPC resources is on track to exceed the dedicated resources available for ATLAS on the WLCG. [...]
ATL-SOFT-PROC-2016-001.
- 2016. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext
6.
Scaling up ATLAS Event Service to production levels on opportunistic computing platforms / Benjamin, Douglas (Duke University, Department of Physics) ; Caballero, Jose (Brookhaven National Laboratory (BNL)) ; Ernst, Michael (Brookhaven National Laboratory (BNL)) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Lesny, David (University of Illinois at Urbana-Champaign) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; van Gemmeren, Peter (Argonne National Laboratory) et al.
Continued growth in public cloud and HPC resources is on track to overcome the dedicated resources available for ATLAS on the WLCG. Example of such platforms are Amazon AWS EC2 Spot Instances, Edison Cray XC30 supercomputer, backfill at the Tier-2 and Tier-3 sites, opportunistic resources at the Open Science Grid, and ATLAS High Level Trigger farm between the data taking periods. [...]
ATL-SOFT-SLIDE-2016-012.- Geneva : CERN, 2016 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 17th INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH, Valparaíso, Valparaíso, Chile, 18 - 22 Jan 2016
7.
PanDA: Exascale Federation of Resources for the ATLAS Experiment at the LHC / Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Caballero-Bejar, Jose (Brookhaven National Laboratory (BNL)) ; De, Kaushik (The University of Texas at Arlington) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Padolski, Siarhei (Brookhaven National Laboratory (BNL)) ; Panitkin, Sergey (Brookhaven National Laboratory (BNL)) et al.
After a scheduled maintenance and upgrade period, the world’s largest and most powerful machine - the Large Hadron Collider(LHC) - is about to enter its second run at unprecedented energies. [...]
ATL-SOFT-PROC-2015-057.
- 2016. - 12 p.
Original Communication (restricted to ATLAS) - Full text
8.
The Evolution of Cloud Computing in ATLAS / for the ATLAS collaboration
The ATLAS experiment has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. [...]
ATL-SOFT-PROC-2015-049.
- 2015. - 8 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access article
9.
PanDA Pilot Submission using Condor-G: Experience and Improvements / Zhao, Xin (Brookhaven National Laboratory) ; Hover, John (Brookhaven National Laboratory) ; Wlodek, Tom (Brookhaven National Laboratory) ; Wenaus, Torre (Brookhaven National Laboratory) ; Frey, Jaime (Wisconsin U., Madison ) ; Tannenbaum, Todd (Wisconsin U., Madison ) ; Livny, Miron (Wisconsin U., Madison )
PanDA is the workload management system of the ATLAS experiment, used to run production and user analysis jobs on the grid. As a late-binding, pilot-based system, the maintenance of a smooth and steady stream of pilot jobs to all grid sites is critical for PanDA operation. [...]
ATL-SOFT-SLIDE-2010-386.- Geneva : CERN, 2010 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18 - 22 Oct 2010

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