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CERN Document Server 2,024 records found  1 - 10nextend  jump to record: Search took 0.68 seconds. 
1.
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Extending Rucio with modern cloud storage support / Barisits, Martin (CERN) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Lassnig, Mario (CERN) ; Patrascoiu, Mihai (CERN) ; Serfon, Cedric (Brookhaven National Laboratory (US)) ; Vendrell Moya, Alba ; Wegner, Tobias
Rucio is a software framework designed to facilitate scientific collaborations in efficiently organising, managing, and accessing extensive volumes of data through customizable policies. [...]
ATL-SOFT-PROC-2023-016. - 2024 - 7.
Original Communication (restricted to ATLAS) - Full text
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2.
(83)
Extending Rucio with modern cloud storage support / Lassnig, Mario (CERN) ; Barisits, Martin (CERN) ; Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Patrascoiu, Mihai (CERN) ; Serfon, Cedric (Brookhaven National Laboratory (US)) ; Vendrell Moya, Alba ; Wegner, Tobias /ATLAS Collaboration
Rucio is a software framework that provides scientific collaborations with the ability to organise, manage and access large volumes of data using customisable policies. The data can be spread across globally distributed locations and across heterogeneous data centres, uniting different storage and network technologies as a single federated entity. [...]
ATL-SOFT-SLIDE-2023-146.- Geneva : CERN, 2023 - 8 p. 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
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Xrootd S3 Gateway for WLCG Storage / Hanushevsky, Andrew Bohdan (SLAC National Accelerator Laboratory (US)) ; Yang, Wei (SLAC National Accelerator Laboratory (US)) /ATLAS Collaboration
The Xrootd S3 Gateway is a universal high performance proxy service that can be used to access S3 portals using existing HEP credentials (e.g. JSON Web Tokens and x509). [...]
ATL-SOFT-SLIDE-2023-125.- Geneva : CERN, 2023 - 12 p. 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
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4.
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Seamless integration of commercial Clouds with ATLAS Distributed Computing / Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; Bawa, Harinder Singh (California State University (US)) ; De, Kaushik (University of Texas at Arlington (US)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Lassnig, Mario (CERN) ; Serfon, Cedric (Brookhaven National Laboratory (US)) ; Wegner, Tobias (Bergische Universitaet Wuppertal (DE)) /ATLAS Collaboration
The CERN ATLAS Experiment successfully uses a worldwide distributed computing Grid infrastructure to support its physics programme at the Large Hadron Collider (LHC). The Grid workflow system PanDA routinely manages up to 700'000 concurrently running production and analysis jobs to process simulation and detector data. [...]
ATL-SOFT-SLIDE-2021-130.- Geneva : CERN, 2021 - 11 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021
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ATLAS Data Analysis using a Parallel Workflow on Distributed Cloud-based Services with GPUs / Sandesara, Jay Ajitbhai (Amherst College (US)) ; Coelho Lopes De Sa, Rafael (University of Massachusetts (US)) ; Martinez Outschoorn, Verena Ingrid (University of Massachusetts (US)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Klimentov, Alexei (Brookhaven National Laboratory (US))
A new type of parallel workflow is developed for the ATLAS experiment at the Large Hadron Collider, that makes use of distributed computing combined with a cloud-based infrastructure. [...]
ATL-SOFT-PROC-2023-023. - 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
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An intelligent Data Delivery Service for and beyond the ATLAS Experiment / Guan, Wen (University of Wisconsin Madison (US)) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Bockelman, Brian Paul (University of Wisconsin Madison (US)) ; Wenaus, Torre (Brookhaven National Laboratory (US)) ; Lin, Fa-Hui (University of Texas at Arlington (US)) ; Padolski, Siarhei (Brookhaven National Laboratory (US)) ; Zhang, Rui (University of Wisconsin Madison (US)) ; Alekseev, Aleksandr (Universidad Andres Bello (CL)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) /ATLAS Collaboration
The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. iDDS has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and main processing in various workflows. [...]
ATL-SOFT-SLIDE-2021-120.- Geneva : CERN, 2021 - 11 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021
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intelligent Data Delivery Service (iDDS) / Bockelman, Brian Paul (University of Wisconsin Madison (US)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; Guan, Wen (University of Wisconsin Madison (US)) ; Lin, Fa-Hui (University of Texas at Arlington (US)) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Weber, Christian (Brookhaven National Laboratory (US)) ; Wenaus, Torre (Brookhaven National Laboratory (US)) ; Zhang, Rui (University of Wisconsin Madison (US)) /ATLAS Collaboration
The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. It has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and primary processing in large scale workflows. [...]
ATL-SOFT-SLIDE-2022-249.- Geneva : CERN, 2022 - 15 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.ATL-SOFT-SLIDE-2022-249
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intelligent Data Delivery Service (iDDS) / Guan, Wen (University of Wisconsin Madison (US)) ; Maeno, Tadashi (Brookhaven National Laboratory (US)) ; Padolski, Siarhei (Brookhaven National Laboratory (US)) ; Bockelman, Brian Paul (University of Wisconsin Madison (US)) ; Wenaus, Torre (Brookhaven National Laboratory (US)) ; Barreiro Megino, Fernando Harald (University of Texas at Arlington (US)) ; Lin, Fa-Hui (University of Texas at Arlington (US)) ; Zhang, Rui (University of Wisconsin Madison (US)) /ATLAS Collaboration
The intelligent Data Delivery Service (iDDS) has been developed to cope with the huge increase of computing and storage resource usage in the coming LHC data taking. It has been designed to intelligently orchestrate workflow and data management systems, decoupling data pre-processing, delivery, and main processing in various workflows. [...]
ATL-SOFT-SLIDE-2022-001.- Geneva : CERN, 2022 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 30th International Symposium on Lepton Photon Interactions at High Energies, Manchester, Gb, 10 - 14 Jan 2022
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Accelerating science: the usage of commercial clouds in ATLAS distributed computing / ATLAS Collaboration
The ATLAS experiment at CERN is one of the largest scientific machines built to date and will have ever growing computing needs as the Large Hadron Collider collects an increasingly larger volume of data over the next 20 years. ATLAS is conducting R&D; projects on Amazon and Google clouds as complementary resources for distributed computing, focusing on some of the key features of commercial clouds: lightweight operation, elasticity and availability of multiple chip architectures. [...]
ATL-SOFT-SLIDE-2023-151.- Geneva : CERN, 2023 - 13 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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10.
(9)
Accelerating science: the usage of commercial clouds in ATLAS Distributed Computing / ATLAS Collaboration
The ATLAS experiment at CERN is one of the largest scientific ma- chines built to date and will have ever growing computing needs as the Large Hadron Collider collects an increasingly larger volume of data over the next 20 years. [...]
ATL-SOFT-PROC-2023-020. - 2024 - 11.
Original Communication (restricted to ATLAS) - Full text
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