Zobrazeno 1 - 10
of 404
pro vyhledávání: '"Berghaus Frank"'
Autor:
Berghaus Frank, Krasznahorkay Attila, Martin Tim, Novak Tadej, Nowak Marcin, Schaffer A.C., Tsulaia Vakho, van Gemmeren Peter
Publikováno v:
EPJ Web of Conferences, Vol 251, p 03006 (2021)
Processing and scientific analysis of the data taken by the ATLAS experiment requires reliable information describing the event data recorded by the detector or generated in software. ATLAS event processing applications store such descriptive metadat
Externí odkaz:
https://doaj.org/article/6cd1f95622404fc7b7226a78257eec2d
Autor:
Ebert Marcus, Berghaus Frank, Casteels Kevin, Driemel Colson, Keeble Oliver, Leavett-Brown Colin, Fernandez Galindo Fernando, Furano Fabrizio, Paterson Michael, Seuster Rolf, Sobie Randall, Tafirout Reda
Publikováno v:
EPJ Web of Conferences, Vol 245, p 04003 (2020)
The Dynafed data federator is designed to present a dynamic and unified view of a distributed file repository. We describe our use of Dynafed to construct a production-ready WLCG storage element (SE) using existing grid storage endpoints as well as o
Externí odkaz:
https://doaj.org/article/6721376920cc40b0be748b8d5be2344b
Autor:
Barreiro Megino Fernando Harald, Albert Jeffrey Ryan, Berghaus Frank, De Kaushik, Lin FaHui, MacDonell Danika, Maeno Tadashi, Da Rocha Ricardo Brito, Seuster Rolf, Taylor Ryan Paul, Yang Ming-Jyuan
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07025 (2020)
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
Externí odkaz:
https://doaj.org/article/3521943fa10a46a59318a7a52c5c8bc6
Autor:
Barreiro Megino Fernando Harald, Alekseev Aleksandr, Berghaus Frank, Cameron David, De Kaushik, Filipcic Andrej, Glushkov Ivan, Lin FaHui, Maeno Tadashi, Magini Nicolò
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03010 (2020)
ATLAS Computing Management has identified the migration of all computing resources to Harvester, PanDA’s new workload submission engine, as a critical milestone for LHC Run 3 and 4. This contribution will focus on the Grid migration to Harvester. W
Externí odkaz:
https://doaj.org/article/d4d016cb59cc40e0bc7ff3b4ddfd37e4
Autor:
Berghaus Frank, Brasolin Franco, Di Girolamo Alessandro, Ebert Marcus, Leavett-Brown Colin Roy, Lee Chris, Love Peter, Pozo Astigarraga Eukeni, Scannicchio Diana Alessandra, Schovancova Jaroslava, Seuster Rolf, Sobie Randall
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07044 (2020)
The Simulation at Point1 (Sim@P1) project was built in 2013 to take advantage of the ATLAS Trigger and Data Acquisition High Level Trigger (HLT) farm. The HLT farm provides around 100,000 cores, which are critical to ATLAS during data taking. When AT
Externí odkaz:
https://doaj.org/article/378cb566a45d4a2b9b57daffe20eb2e9
Autor:
Sobie Randall, Berghaus Frank, Casteels Kevin, Driemel Colson, Ebert Marcus, Galindo Fernando, Leavett-Brown Colin, MacDonell Danika, Paterson Michael, Seuster Rolf, Tolkamp Shaelyn, Weldon Jodie
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07031 (2020)
We describe a high-throughput computing system for running jobs on public and private computing clouds using the HTCondor job scheduler and the cloudscheduler VM provisioning service. The distributed cloud computing system is designed to simultaneous
Externí odkaz:
https://doaj.org/article/d98a00a3b632469aa25e4a988df1e831
Autor:
Berghaus Frank, Brasolin Franco, Casteels Kevin, Driemel Colson, Ebert Marcus, Leavatt-Brown Colin, Lee Chris, Love Peter, Paterson Michael, Scannicchio Diana, Seuster Rolf, Sobie Randall, Weiss-Gibbons Tahya
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07021 (2019)
The Simulation at Point1 (Sim@P1) project was established in 2013 to take advantage of the Trigger and Data Acquisition High Level Trigger (HLT) farm of the ATLAS experiment at the LHC. The HLT farm is a significant compute resource, which is critica
Externí odkaz:
https://doaj.org/article/7824806b0e8b4d5f99f6d127ec14bd77
Autor:
Seuster Rolf, Berghaus Frank, Casteels Kevin, Driemel Colson, Ebert Marcus, Leavett-Brown Colin, Paterson Michael, Sobie Randall
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07035 (2019)
The HEP group at the University of Victoria operates a distributed cloud computing system for the ATLAS and Belle II experiments. The system uses private and commercial clouds in North America and Europe that run OpenStack, Open Nebula or commercial
Externí odkaz:
https://doaj.org/article/bcc078bd295f49baae81a79a91ac2806
Autor:
Berghaus Frank, Wegner Tobias, Lassnig Mario, Ebert Marcus, Serfon Cedric, Galindo Fernando, Seuster Rolf, Garonne Vincent, Tafirout Reda, Sobie Randall
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07009 (2019)
Input data for applications that run in cloud computing centres can be stored at remote repositories, typically with multiple copies of the most popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we bel
Externí odkaz:
https://doaj.org/article/0e4e62038ec146bc911402635b7f7ea4