Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Wegner Tobias"'
A common task in scientific computing is the derivation of data. This workflow extracts the most important information from large input data and stores it in smaller derived data objects. The derived data objects can then be used for further analysis
Externí odkaz:
http://arxiv.org/abs/2105.03201
Autor:
Barisits, Martin, Beermann, Thomas, Berghaus, Frank, Bockelman, Brian, Bogado, Joaquin, Cameron, David, Christidis, Dimitrios, Ciangottini, Diego, Dimitrov, Gancho, Elsing, Markus, Garonne, Vincent, di Girolamo, Alessandro, Goossens, Luc, Guan, Wen, Guenther, Jaroslav, Javurek, Tomas, Kuhn, Dietmar, Lassnig, Mario, Lopez, Fernando, Magini, Nicolo, Molfetas, Angelos, Nairz, Armin, Ould-Saada, Farid, Prenner, Stefan, Serfon, Cedric, Stewart, Graeme, Vaandering, Eric, Vasileva, Petya, Vigne, Ralph, Wegner, Tobias
Publikováno v:
Barisits, M., Beermann, T., Berghaus, F. et al. Comput Softw Big Sci (2019) 3: 11
Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distributed across heterogeneous data centers at widely distributed locatio
Externí odkaz:
http://arxiv.org/abs/1902.09857
Autor:
Barisits Martin, Barnsley Robert, Barreiro Megino Fernando Harald, Elmsheuser Johannes, Lassnig Mario, Patrascoiu Mihai, Perry James, Serfon Cedric, Vendrell Moya Alba, Wegner Tobias
Publikováno v:
EPJ Web of Conferences, Vol 295, p 01030 (2024)
Rucio is a software framework designed to facilitate scientific collaborations in efficiently organising, managing, and accessing extensive volumes of data through customizable policies. The framework enables data distribution across globally distrib
Externí odkaz:
https://doaj.org/article/55dbb8421f7b40ec9d239d1dddbb354e
Autor:
Lassnig, Mario, Barisits, Martin, Elmsheuser, Johannes, Patrascoiu, Mihai, Serfon, Cedric, Vendrell Moya, Alba, Wegner, Tobias
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 heterogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::366d7f4e0bc97ce4035c86a46137a6ff
http://cds.cern.ch/record/2857740
http://cds.cern.ch/record/2857740
Autor:
Megino Fernando Barreiro, Bawa Harinder Singh, De Kaushik, Elmsheuser Johannes, Klimentov Alexei, Lassnig Mario, Serfon Cédric, Wegner Tobias
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02005 (2021)
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
Externí odkaz:
https://doaj.org/article/a782b22251d44079a2f1d5a221e71b15
Autor:
Wegner, Tobias
The issue of storing large quantities of data is already challenging for research institutions, and will become increasingly difficult over the next decade as more data are generated in addition to the data already requiring storage. CERN, as the lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0f078cc691bfadea023a1ae2494d15
Autor:
Berghaus, Frank1 berghaus@cern.ch, Wegner, Tobias2, Lassnig, Mario2, Ebert, Marcus1 berghaus@cern.ch, Serfon, Cedric3, Galindo, Fernando4, Seuster, Rolf1, Garonne, Vincent2, Tafirout, Reda4, Sobie, Randall1, Forti, A., Betev, L., Litmaath, M., Smirnova, O., Hristov, P.
Publikováno v:
EPJ Web of Conferences. 9/17/2019, Vol. 214, p1-4. 4p.
Autor:
Nilsson Paul, Anisenkov Alexey, Benjamin Doug, Drizhuk Daniel, Guan Wen, Lassnig Mario, Oleynik Danila, Svirin Pavlo, Wegner Tobias
Publikováno v:
EPJ Web of Conferences, Vol 214, p 03054 (2019)
The Production and Distributed Analysis system (PanDA) is a pilot-based workload management system that was originally designed for the ATLAS Experiment at the LHC and to use with grid sites. Since the coming LHC data taking runs will require more re
Externí odkaz:
https://doaj.org/article/217f553e4a1f493687f0bdb6ba4aa0df
Autor:
Barisits Martin, Beermann Thomas, Bogado Joaquin, Garonne Vincent, Javurek Tomas, Lassnig Mario, Manzi Andrea, Martelli Edoardo, Serfon Cedric, Wegner Tobias, Zhao Xin
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04054 (2019)
Rucio, the distributed data management system of the ATLAS experiment already manages more than 400 Petabytes of physics data on the grid. Rucio was incrementally improved throughout LHC Run-2 and is currently being prepared for the HL-LHC era of the
Externí odkaz:
https://doaj.org/article/afede1ca79864028af2a457107ab6e22
Autor:
Barisits Martin, Barreiro Fernando, Beermann Thomas, Bhatia Karan, De Kaushik, Dubreuil Arnaud, Elmsheuser Johannes, Klimentov Alexei, Lassnig Mario, Love Peter, Maeno Tadashi, Manzi Andrea, Mashinistov Ruslan, Murphy Andy, Nilsson Paul, Panitkin Sergey, Wegner Tobias
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04020 (2019)
Transparent use of commercial cloud resources for scientific experiments is a hard problem. In this article, we describe the first steps of the Data Ocean R&D collaboration between the high-energy physics experiment ATLAS together with Google Cloud P
Externí odkaz:
https://doaj.org/article/9d951e013a9049e38b891e3e379c1efe