CERN Accelerating science

მთავარი > ძიების შედეგები: recid:2709179
ძებნის მინიშნებანი
გაფართოებული ძებნა
Add to Search +
ძებნა კოლექციები:
დახარისხება: შედეგების ჩვენება: გამავალი ფორმატი:
CERN Document Server 2,025 ჩანაწერია ნაპოვნი  1 - 10შემდეგიდასასრული  ჩანაწერთან გადასვლა: ძიებას დასჭირდა 0.61 წამი. 
1.
(100)
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
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2.
(31)
Using Kubernetes as an ATLAS computing site / Barreiro Megino, Fernando Harald (The University of Texas at Arlington) /ATLAS Collaboration
In recent years containerization has revolutionized cloud environments, providing a secure, lightweight, standardized way to package and execute software. Solutions such as Kubernetes enable orchestration of containers in a cluster, including for the purpose of job scheduling. [...]
ATL-SOFT-SLIDE-2019-782.- Geneva : CERN, 2019 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
3.
(29)
A grid site reimagined: building a fully cloud-native ATLAS Tier 2 on Kubernetes / Taylor, Ryan (University of Victoria (CA)) ; Albert, Jeffrey Ryan (University of Victoria (CA)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US))
The University of Victoria (UVic) operates an Infrastructure-as-a- Service scientific cloud for Canadian researchers, and a WLCG Tier 2 grid site for the ATLAS experiment at CERN. [...]
ATL-SOFT-PROC-2023-014. - 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
4.
(29)
A grid site reimagined / Taylor, Ryan (University of Victoria (CA)) ; Albert, Jeffrey Ryan (University of Victoria (CA)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) /ATLAS Collaboration
The University of Victoria (UVic) operates an Infrastructure-as-a-Service science cloud for Canadian researchers, and a WLCG T2 grid site for the ATLAS experiment at CERN. At first, these were two distinctly separate systems, but over time we have taken steps to migrate the T2 grid services to the cloud. [...]
ATL-SOFT-SLIDE-2023-148.- Geneva : CERN, 2023 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
5.
(24)
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
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
6.
(18)
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
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
7.
(18)
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
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
8.
(15)
Seamless integration of commercial Clouds with ATLAS Distributed Computing / Elmsheuser, Johannes (Brookhaven National Laboratory (BNL)) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Bawa, Harinder Singh (California State University) ; De, Kaushik (The University of Texas at Arlington) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Serfon, Cedric (Brookhaven National Laboratory (BNL)) ; Wegner, Tobias Thomas (Bergische Universitaet Wuppertal)
The CERN ATLAS Experiment successfully uses a worldwide distributed computing Grid infrastructure to support its physics programme at the Large Hadron Collider (LHC). [...]
ATL-SOFT-PROC-2021-003. - 2021. - 10 p.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
9.
(15)
Building Scalable Analysis Infrastructure for ATLAS / Gardner Jr, Robert William (University of Chicago (US)) ; Lancon, Eric (Brookhaven National Laboratory (US)) ; Vukotic, Ilija (University of Chicago (US)) ; Bryant, Lincoln (University of Chicago (US)) ; Golnaraghi, Farnaz (University of Chicago (US)) ; Stephen, Judith Lorraine (University of Chicago (US)) ; Taylor, Ryan (University of Victoria (CA)) ; Hu, Fengping (University of Chicago (US)) /ATLAS Collaboration
We explore the adoption of cloud-native tools and principles to forge flexible and scalable infrastructures, aimed at supporting analysis frameworks being developed for the ATLAS experiment in the High Luminosity Large Hadron Collider (HL-LHC) era. The project culminated in the creation of a federated platform, integrating Kubernetes clusters from various providers such as Tier-2 centers, Tier-3 centers, and from the IRIS-HEP Scalable Systems Laboratory, a National Science Foundation project. [...]
ATL-SOFT-SLIDE-2024-560.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
10.
(15)
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
დეტალური ჩანაწერი - მსგავსი ჩანაწერები

ვერ იპოვნეთ რასაც ეძებდით? სცადეთ თქვენი ძებნა სხვა სერვერებზე:
recid:2709179 ში Amazon
recid:2709179 ში CERN EDMS
recid:2709179 ში CERN Intranet
recid:2709179 ში CiteSeer
recid:2709179 ში Google Books
recid:2709179 ში Google Scholar
recid:2709179 ში Google Web
recid:2709179 ში IEC		recid:2709179 ში IHS
recid:2709179 ში INSPIRE
recid:2709179 ში ISO
recid:2709179 ში KISS Books/Journals
recid:2709179 ში KISS Preprints
recid:2709179 ში NEBIS
recid:2709179 ში SLAC Library Catalog