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001037635 0247_ $$2ISSN$$a2101-6275
001037635 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-00800
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001037635 1001_ $$0P:(DE-Juel1)185766$$aLong, Shiting$$b0$$eCorresponding author
001037635 1112_ $$a26th International Conference on Computing in High Energy and Nuclear Physics$$cNorfolk, VA$$d2023-05-08 - 2023-05-12$$gCHEP 2023$$wUSA
001037635 245__ $$aIntegrating FTS in the Fenix HPC Infrastructure
001037635 260__ $$aLes Ulis$$bEDP Sciences$$c2024
001037635 300__ $$a8p.
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001037635 520__ $$aAs compute requirements in experimental high-energy physicsare expected to significantly increase, there is a need for leveraging high-performance computing (HPC) resources. However, HPC systems are currentlyorganised and operated in a way that this is not easily possible. Here we willfocus on a specific e-infrastructure that incorporates HPC resources, namelyFenix, which is based on a consortium of 6 leading European supercomput-ing centres. Fenix was initiated through the Human Brain Project (HBP) butalso provides resources to other research communities in Europe. The Fenixsites are integrated into a common AAI and provide a so-called Archival DataRepository that can be accessed through a Swift API.In this paper, we report on our efforts to realise a data transfer service that allowto exchange data with the Fenix e-infrastructure. This has been enabled by im-plementing support of Swift in FTS3 and related software components. We will,in particular, discuss how FTS3 has been integrated into the Fenix AAI, whichlargely follows the architectural principles of the European Open Science Cloud(EOSC). Furthermore, we show how end-users can use this service through aWebFTS service that has been integrated into the science gateway of the HBP,which is also known as the HBP Collaboratory. Finally, we discuss how trans-fer commands can be automatically distributed over several FTS3 instances tooptimise transfer between different Fenix sites.
001037635 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001037635 536__ $$0G:(DE-HGF)POF4-5121$$a5121 - Supercomputing & Big Data Facilities (POF4-512)$$cPOF4-512$$fPOF IV$$x1
001037635 536__ $$0G:(DE-Juel1)Helmholtz-SLNS$$aSLNS - SimLab Neuroscience (Helmholtz-SLNS)$$cHelmholtz-SLNS$$x2
001037635 536__ $$0G:(EU-Grant)800858$$aICEI - Interactive Computing E-Infrastructure for the Human Brain Project (800858)$$c800858$$fH2020-SGA-INFRA-FETFLAG-HBP$$x3
001037635 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x4
001037635 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001037635 7001_ $$0P:(DE-Juel1)144441$$aPleiter, Dirk$$b1
001037635 7001_ $$0P:(DE-HGF)0$$aPatrascoiu, Mihai$$b2
001037635 7001_ $$0P:(DE-HGF)0$$aPadrin, Cristiano$$b3
001037635 7001_ $$0P:(DE-HGF)0$$aCarpene, Michele$$b4
001037635 7001_ $$0P:(DE-HGF)0$$aMore, Sergi$$b5
001037635 7001_ $$0P:(DE-HGF)0$$aCarpio, Miguel$$b6
001037635 773__ $$0PERI:(DE-600)2595425-8$$a10.1051/epjconf/202429501037$$gVol. 295, p. 01037 -$$p01037$$tThe European physical journal / Web of Conferences$$v295$$x2100-014X$$y2024
001037635 8564_ $$uhttps://juser.fz-juelich.de/record/1037635/files/epjconf_chep2024_01037.pdf$$yOpenAccess
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001037635 9131_ $$0G:(DE-HGF)POF4-512$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5121$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vSupercomputing & Big Data Infrastructures$$x1
001037635 9141_ $$y2024
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