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CERN Document Server 找到 9 筆記錄  檢索需時 0.54 秒. 
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
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2.
Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm / ATLAS Collaboration
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides more than 2,000 compute nodes, which are critical to ATLAS during data taking. [...]
ATL-SOFT-SLIDE-2018-433.- Geneva : CERN, 2018 - 15 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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3.
Federating distributed storage for clouds in ATLAS / ATLAS Collaboration
Input data for applications that run in cloud computing centres can be stored at distant repositories, often with multiple copies of the popular data stored at many sites. [...]
arXiv:1810.11226 ; ATL-SOFT-PROC-2017-061. - 2018-10-18. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Fulltext - Fulltext
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4.
Federating Distributed Storage For Clouds In ATLAS / ATLAS Collaboration
Input data for applications that run in cloud computing centres can be stored at distant repositories, often with multiple copies of the popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we believe that federating the storage can address this problem. [...]
ATL-SOFT-SLIDE-2017-661.- Geneva : CERN, 2017 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017
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5.
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
詳細記錄 - 相似記錄 - 2 comments
6.
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
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7.
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
詳細記錄 - 相似記錄 - 1 comment
8.
The Evolution of Cloud Computing in ATLAS / Taylor, Ryan P. (University of Victoria) ; Berghaus, Frank (University of Victoria) ; Love, Peter (Lancaster University, Department of Physics) ; Leblanc, Matthew Edgar (University of Victoria) ; Di Girolamo, Alessandro (CERN) ; Paterson, Michael (University of Victoria) ; Gable, Ian (University of Victoria) ; Sobie, Randall (University of Victoria) ; Field, Laurence (CERN)
The ATLAS experiment has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. Cloud R&D; activities continue to mature and transition into stable production systems, while ongoing evolutionary changes are still needed to adapt and refine the approaches used, in response to changes in prevailing cloud technology. [...]
ATL-SOFT-SLIDE-2015-158.- Geneva : CERN, 2015 Fulltext: CHEP2015 ATLAS Cloud Computing - PDF; ATL-SOFT-SLIDE-2015-158 - PDF; External link: Original Communication (restricted to ATLAS)
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015
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9.
Masking Problematic Channels in the Liquid Argon Calorimeter for the High-Level Trigger of ATLAS / Taylor, Ryan P
Read-out channels in the liquid argon (LAr) calorimeter of the ATLAS detector are susceptible to various kinds of faults, which can impair the selection of events made by the trigger system [...]
CERN-THESIS-2009-201 - Victoria : Victoria U., 2009. - 46 p.

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