2018-06-21
18:48 |
Performance and impact of dynamic data placement in ATLAS
/ Maier, Thomas (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Beermann, Thomas Alfons (Institut fuer Astro- und Teilchenphysik der Leopold-Franzens-Universitaet Innsbruck) ; Vukotic, Ilija (University of Chicago, Enrico Fermi Institute) ; Legger, Federica (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Duckeck, Guenter (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen)
/ATLAS Collaboration
For high-throughput computing the efficient use of distributed computing resources relies on an evenly distributed workload, which in turn requires wide availability of input data that is used in physics analysis. In ATLAS, the dynamic data placement agent C3PO was implemented in the ATLAS distributed data management system Rucio which identifies popular data and creates additional, transient replicas to make data more widely and more reliably available. [...]
ATL-SOFT-SLIDE-2018-393.-
Geneva : CERN, 2018 - 16 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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2018-06-21
18:16 |
Improving ATLAS computing resource utilization with HammerCloud
/ Schovancova, Jaroslava (CERN Tier-0) ; Buehrer, Felix (Albert-Ludwigs-Universitaet Freiburg) ; Caballero-Bejar, Jose (Brookhaven National Laboratory (BNL)) ; Duckeck, Guenter (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Fkiaras, Aristeidis (Athens University of Economics and Business (GR)) ; Legger, Federica (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Maier, Thomas (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen) ; Mancinelli, Valentina ; Sciacca, Francesco Giovanni (University of Bern, Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics) ; Yusta Espla, Antonio (Fakultaet fuer Physik, Ludwig-Maximilians-Universitaet Muenchen)
/ATLAS Collaboration
HammerCloud is a framework to commission, test, and benchmark ATLAS computing resources and components of various distributed systems with realistic full-chain experiment workflows. HammerCloud contributes to ATLAS Distributed Computing (ADC) Operations and automation efforts, providing the automated resource exclusion and recovery tools, that help re-focus operational manpower to areas which have yet to be automated, and improve utilization of available computing resources. [...]
ATL-SOFT-SLIDE-2018-392.-
Geneva : CERN, 2018 - 1 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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2018-06-21
18:10 |
Lightweight on-demand computing with Elasticluster and Nordugrid ARC
/ Pedersen, Maiken (University of Oslo) ; Cameron, David (University of Oslo) ; Filipcic, Andrej (Jozef Stefan Institute)
/ATLAS Collaboration
The cloud computing paradigm allows scientists to elastically grow or shrink computing resources as requirements demand, so that resources only need to be paid for when necessary. The challenge of integrating cloud computing into distributed computing frameworks used by HEP experiments has led to many different solutions in the past years, however none of these solutions offer a complete, fully integrated cloud resource out of the box. [...]
ATL-SOFT-SLIDE-2018-391.-
Geneva : CERN, 2018
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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2018-06-21
18:06 |
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2018-06-21
16:33 |
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2018-06-21
15:18 |
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2018-06-21
14:56 |
Estimating Time To Complete for ATLAS data transfers
/ Bogado Garcia, Joaquin Ignacio (Universidad National de La Plata (UNLP)) ; Lassnig, Mario (European Laboratory for Particle Physics, CERN) ; Monticelli, Fernando (Universidad National de La Plata (UNLP)) ; Serfon, Cedric (University of Oslo)
/ATLAS Collaboration
Transfer Time To Complete (T³C) is a new extension for the data management system Rucio that allows to make predictions about the duration of a file transfer. The extension has a modular architecture which allows to make predictions based on simple to more sophisticated models, depending on available data and computation power. [...]
ATL-SOFT-SLIDE-2018-387.-
Geneva : CERN, 2018 - 1 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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2018-06-21
14:35 |
Spanish ATLAS Tier-1 &Tier-2 perspective on computing over the next years
/ ATLAS Collaboration
Since the beginning of the WLCG Project the Spanish ATLAS computer centres have contributed with reliable and stable resources as well as personnel for the ATLAS Collaboration. Our contribution to the ATLAS Tier2s and Tier1s computing resources (disk and CPUs) in the last 10 years has been around 5%, even though the Spanish contribution to the ATLAS detector construction as well as the number of authors are both close to 3%. [...]
ATL-SOFT-SLIDE-2018-386.-
Geneva : CERN, 2018 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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2018-06-20
18:58 |
Grid production with the ATLAS Event Service
/ ATLAS Collaboration
ATLAS has developed and previously presented a new computing architecture, the Event Service, that allows real time delivery of fine grained workloads which process dispatched events (or event ranges) and immediately streams outputs. The principal aim was to profit from opportunistic resources such as commercial cloud, supercomputing, and volunteer computing, and otherwise unused cycles on clusters and grids. [...]
ATL-SOFT-SLIDE-2018-385.-
Geneva : CERN, 2018 - 1 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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2018-06-20
17:55 |
ATLAS Distributed Computing: Its Central Services core
/ Lee, Christopher Jon (University of Cape Town) ; Di Girolamo, Alessandro (European Laboratory for Particle Physics, CERN) ; Elmsheuser, Johannes (Brookhaven National Laboratory (BNL)) ; Buzykaev, Alexey (Budker Institute of Nuclear Physics (RU)) ; Obreshkov, Emil (The University of Texas at Arlington) ; Glushkov, Ivan (The University of Texas at Arlington) ; Sun, Shaojun (Department of Physics, University of Wisconsin)
/ATLAS Collaboration
The ATLAS Distributed Computing (ADC) Project is responsible for the off-line processing of data produced by the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. It facilitates data and workload management for ATLAS computing on the Worldwide LHC Computing Grid (WLCG). [...]
ATL-SOFT-SLIDE-2018-384.-
Geneva : CERN, 2018
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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