Nothing Special   »   [go: up one dir, main page]

CERN Accelerating science

CERN Document Server 2,021 record trovati  1 - 10successivofine  salta al record: La ricerca ha impiegato 0.36 secondi. 
1.
A Scientific Data Lake for Open Science / Espinal, Xavier (CERN)
A common set of tools is being adopted by different and multi-disciplinary scientific communities to establish a coherent orchestration layer for the Research Infrastructures (RI) and for the sites providing resources to one or many of these RIs. [...]
CERN-IT-Note-2022-004.
- 2021. - 6 p.
Access to fulltext
2.
Tier-0 in the HL-LHC Era / Bell, Tim (CERN) ; Espinal, Xavier (CERN) ; Salter, Wayne (CERN) ; Panzer-Steindel, Bernd (CERN)
The Prevessin Computer Centre provides additional capabilities for the CERN computing infrastructure including the Tier-0. [...]
CERN-IT-Note-2024-007.
- 2024. - 7 p.
Full text
3.
Future of User Storage at CERN / Espinal, Xavier (CERN) ; Moscicki, Jakub (CERN) ; Peters, Andreas Joachim (CERN) ; Wiebalck, Arne (CERN) ; Van der Ster, Daniel (CERN)
Multi-year vision about solutions to provide user-oriented, i.e [...]
CERN-IT-Note-2021-001.
- 2021.
Access to fulltext
4.
RCS-ICT PSO Consolidation and Integration of CERN-IT Collaborative Tools / Marshall, Zach (Lawrence Berkeley National Lab. (US)) ; Grancher, Eric (CERN) ; Gonzalez Labrador, Hugo (CERN) ; Mato Vila, Pere (CERN) ; Espinal, Xavier (CERN)
Consolidation and integration in key areas of the catalogue of services offered for collaborative work..
CERN-IT-Note-2024-005.
- 2023.
Access to fulltext
5.
Report from the Working Group on Strengthening the Support for Users at CERN / Krammer, Manfred (CERN) ; Biino, Cristina (Universita e INFN Torino (IT)) ; Carvalho, Louise (CERN) ; Duperrier, Gaelle (CERN) ; Espinal, Xavier (CERN) ; Grassi, Alba (CERN) ; Gregorio, Dante (CERN) ; Haug, Ingrid (CERN) ; Hauschild, Michael (Deutsches Elektronen-Synchrotron (DE)) ; Lejeune, Laetitia (CERN) et al.
Report from the Working Group on Strengthening the Support for Users at CERN
CERN-EP-Note-2022-002.
- 2022.
Full text
6.
Prototype of the Russian Scientific Data Lake / Alekseev, Aleksandr (Moscow State U. ; Moscow, INR ; Andres Bello Natl. U.) ; Espinal, Xavier (CERN) ; Jezequel, Stephane (Annecy, LAPP) ; Kiryanov, Andrey (Moscow State U. ; St. Petersburg, INP) ; Klimentov, Alexei (Brookhaven) ; Korchuganova, Tatiana (Moscow State U. ; Moscow, INR ; Andres Bello Natl. U.) ; Mitsyn, Valeri (Dubna, JINR) ; Oleynik, Danila (Moscow State U. ; Dubna, JINR) ; Smirnov, Alexander (Moscow State U. ; Moscow Phys. Eng. Inst.) ; Smirnov, Sergei (Moscow Phys. Eng. Inst.) et al.
The High Luminosity phase of the LHC, which aims for a tenfold increase in the luminosity of proton-proton collisions is expected to start operation in eight years. An unprecedented scientific data volume at the multiexabyte scale will be delivered to particle physics experiments at CERN. [...]
2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 02031 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02031
7.
Astronomical data organization, management and access in Scientific Data Lakes / Grange, Y.G. (ASTRON, Dwingeloo) ; Pandey, V.N. (ASTRON, Dwingeloo) ; Espinal, X. (CERN) ; Di Maria, R. (CERN) ; Millar, A.P. (DESY)
The data volumes stored in telescope archives is constantly increasing due to the development and improvements in the instrumentation. Often the archives need to be stored over a distributed storage architecture, provided by independent compute centres. [...]
arXiv:2202.01828.- 2024 - 4 p.
- Published in : Astron. Soc. Pac. Conf. Proc.: 535 (2024) , pp. 437 Fulltext: document - PDF; 2202.01828 - PDF; External link: Preprint
In : 31st Astronomical Data Analysis Software and Systems, Cape Town, South Africa, 24 - 28 Oct 2021, pp.437
8.
The Virtual Research Environment: A multi-science analysis platform / Gazzarrini, Elena (CERN) ; Garcia Garcia, Enrique (CERN) ; Gosein, Domenic (CERN ; Mannheim U.) ; Moya, Alba Vendrell (CERN) ; Kounelis, Agisilaos (CERN ; Patras U.) ; Espinal, Xavier (CERN)
The Virtual Research Environment is an analysis platform developed at CERN serving the needs of scientific communities involved in European Projects. Its scope is to facilitate the development of end-to-end physics workflows, providing researchers with access to an infrastructure and to the digital content necessary to produce and preserve a scientific result in compliance with FAIR principles. [...]
arXiv:2305.10166.- 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 08023 Fulltext: document - PDF; 2305.10166 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.08023
9.
ESCAPE prototypes a data infrastructure for open science / Bolton, Rosie (CERN) ; Campana, Simone (CERN) ; Ceccanti, Andrea (INFN, CNAF) ; Espinal, Xavier (CERN) ; Fkiaras, Aristeidis (CERN) ; Fuhrmann, Patrick (DESY) ; Grange, Yan (ASTRON, Dwingeloo)
The European-funded ESCAPE project will prototype a shared solution to computing challenges in the context of the European Open Science Cloud. It targets Astronomy and Particle Physics facilities and research infrastructures and focuses on developing solutions for handling Exabyte scale datasets. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 04019 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.04019
10.
Understanding the Performance of a Prototype of a WLCG Data Lake for HL-LHC / Schovancová, Jaroslava (CERN) ; Campana, Simone (CERN) ; Espinal Curull, Xavier (CERN) ; Girone, Maria (CERN) ; Kadochnikov, Ivan (Dubna, JINR) ; McCance, Gavin John (CERN)
Storage is identified as one of the main challenges for WLCG in the next decade in the computing strategy document for HL-LHC [1]. Extrapolating todays computing models, the ATLAS and CMS experiments alone would need one order of magnitude more storage resources than what could be provided by the funding agencies. [...]
2018 - 2 p. - Published in : 10.1109/eScience.2018.00080
In : 14th eScience IEEE International Conference, Amsterdam, Netherlands, 29 Oct - 1 Nov 2018, pp.332-333

Non hai trovato quello che cercavi? Prova la ricerca su altri server:
recid:2844661 in Amazon
recid:2844661 in CERN EDMS
recid:2844661 in CERN Intranet
recid:2844661 in CiteSeer
recid:2844661 in Google Books
recid:2844661 in Google Scholar
recid:2844661 in Google Web
recid:2844661 in IEC
recid:2844661 in IHS
recid:2844661 in INSPIRE
recid:2844661 in ISO
recid:2844661 in KISS Books/Journals
recid:2844661 in KISS Preprints
recid:2844661 in NEBIS
recid:2844661 in SLAC Library Catalog