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New XrootD Monitoring Implementation
/ Garrido, Borja (CERN) ; Andreeva, Julia (Nebraska U.) ; Weitzel, Derek (Manchester U.) ; Forti, Alessandra (Michigan U.) ; McKee, Shawn (Michigan U.)
Complete and reliable monitoring of the WLCG data transfers is an important condition for effective computing operations of the LHC experiments. WLCG data challenges organized in 2021 and 2022 highlighted the need for improvements in WLCG data traffic monitoring. [...]
2024 - 7 p.
- Published in : EPJ Web Conf. 295 (2024) 01040
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01040
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CRIC as a core instrument for WLCG operations
/ Andreeva, Julia (CERN) ; Anisenkov, Alexey (Novosibirsk, IYF ; Novosibirsk State Tech. U.) ; Di Girolamo, Alessandro (CERN) ; Paparrigopoulos, Panos (CERN) ; Szczepanek, Natalia Diana (CERN)
WLCG is a large heterogeneous computing infrastructure which provides resources for the LHC experiments. The Computing Resource Information Catalogue (CRIC) has been designed as the source for the WLCG topology information. [...]
2024 - 7 p.
- Published in : EPJ Web Conf. 295 (2024) 01014
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01014
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CRIC: Computing Resource Information Catalogue as a unified topology system for a large scale, heterogeneous and dynamic computing infrastructure
/ Anisenkov, Alexey (Novosibirsk, IYF ; Novosibirsk State U.) ; Andreeva, Julia (CERN) ; Di Girolamo, Alessandro (CERN) ; Paparrigopoulos, Panos (CERN) ; Vasilev, Boris (CERN)
CRIC is a high-level information system which provides flexible, reliable and complete topology and configuration description for a large scale distributed heterogeneous computing infrastructure. CRIC aims to facilitate distributed computing operations for the LHC experiments and consolidate WLCG topology information. [...]
2020 - 7 p.
- Published in : EPJ Web Conf. 245 (2020) 03032
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03032
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Evolution of the WLCG Information Infrastructure
/ Andreeva, Julia (CERN) ; Anisenkov, Alexey (Dubna, JINR) ; Di Girolamo, Alessandro (CERN) ; Forti, Alessandra (Manchester U.) ; Jones, Stephen (U. Liverpool (main)) ; Konya, Balazs (Lund U.) ; McNab, Andrew (Manchester U.) ; Paparrigopoulos, Panos (CERN)
The WLCG project aimed to develop, build, and maintain a global computing facility for storage and analysis of the LHC data. While currently most of the LHC computing resources are being provided by the classical grid sites, over the last years the LHC experiments have been using more and more public clouds and HPCs, and this trend will certainly continue. [...]
2020 - 8 p.
- Published in : EPJ Web Conf. 245 (2020) 03029
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03029
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Exploiting CRIC to streamline the configuration management of GlideinWMS factories for CMS support
/ Dost, Jeffrey (UC, San Diego) ; Mascheroni, Marco (UC, San Diego) ; Andreeva, Julia (CERN) ; Anisenkov, Alexey (Novosibirsk State U. ; Novosibirsk, IYF) ; Box, Dennis (Fermilab) ; Di Girolamo, Alessandro (CERN) ; Haleem, Saqib (NCP, Islamabad) ; Kizinevič, Edita (Vilnius U.) ; Majewski, Krista (Fermilab) ; Letts, James (UC, San Diego) et al.
GlideinWMS is a workload management and provisioning system that allows sharing computing resources distributed over independent sites. Based on the requests made by GlideinWMS frontends, a dynamically sized pool of resources is created by GlideinWMS pilot factories via pilot job submission to resource sites’ CEs. [...]
2020 - 8 p.
- Published in : EPJ Web Conf. 245 (2020) 03023
Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.03023
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CRIC: a unified information system for WLCG and beyond
/ Anisenkov, Alexey (Novosibirsk, IYF ; Novosibirsk State U.) ; Andreeva, Julia (CERN) ; Di Girolamo, Alessandro (CERN) ; Paparrigopoulos, Panos (CERN) ; Vedaee, Aresh (PIC, Bellaterra)
The Worldwide LHC Computing Grid (WLCG) is an innovative distributed environment which is deployed through the use of grid computing technologies in order to provide computing and storage resources to the LHC experiments for data processing and physics analysis. Following increasing demands of LHC computing needs toward high luminosity era, the experiments are engaged in an ambitious program to extend the capability of WLCG distributed environment, for instance including opportunistically used resources such as High-Performance Computers (HPCs), cloud platforms and volunteer computers. [...]
2019 - 8 p.
- Published in : EPJ Web Conf. 214 (2019) 03003
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03003
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WLCG space accounting in the SRM-less world
/ Andreeva, Julia (CERN) ; Christidis, Dimitrios (U. Patras (main)) ; Di Girolamo, Alessandro (CERN) ; Keeble, Oliver (CERN)
The WLCG computing infrastructure provides distributed storage capacity hosted at the geographically dispersed computing sites. In order to effectively organize storage and processing of the LHC data, the LHC experiments require a reliable and complete overview of the storage capacity in terms of the occupied and free space, the storage shares allocated to different computing activities, and the possibility to detect “dark” data that occupies space while being unknown to the experiment’s file catalogue. [...]
2019 - 7 p.
- Published in : EPJ Web Conf. 214 (2019) 04021
Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.04021
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Consolidating WLCG topology and configuration in the Computing Resource Information Catalogue
/ Alandes, Maria (CERN) ; Andreeva, Julia (CERN) ; Anisenkov, Alexey (Novosibirsk, IYF ; Novosibirsk State U.) ; Bagliesi, Giuseppe (INFN, Pisa ; Pisa U.) ; Belforte, Stephano (INFN, Trieste ; Trieste U.) ; Campana, Simone (CERN) ; Dimou, Maria (CERN) ; Flix, Jose (PIC, Bellaterra) ; Forti, Alessandra (Manchester U.) ; di Girolamo, A (CERN) et al.
The Worldwide LHC Computing Grid infrastructure links about 200 participating computing centres affiliated with several partner projects. It is built by integrating heterogeneous computer and storage resources in diverse data centres all over the world and provides CPU and storage capacity to the LHC experiments to perform data processing and physics analysis. [...]
2017 - 7 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 092042
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.092042
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