002765512 001__ 2765512
002765512 005__ 20210429211824.0
002765512 0248_ $$aoai:cds.cern.ch:2765512$$pcerncds:FULLTEXT
002765512 037__ $$aATL-SOFT-SLIDE-2021-130
002765512 041__ $$aeng
002765512 088__ $$9ATL-COM-SOFT-2021-033
002765512 100__ $$0AUTHOR|(INSPIRE)INSPIRE-00039089$$0AUTHOR|(SzGeCERN)539213$$0AUTHOR|(CDS)2067808$$aElmsheuser, [email protected]$$uBrookhaven National Laboratory (US)
002765512 110__ $$aThe ATLAS collaboration
002765512 245__ $$aSeamless integration of commercial Clouds with ATLAS Distributed Computing
002765512 260__ $$c2021
002765512 269__ $$aGeneva$$bCERN$$c29 Apr 2021
002765512 300__ $$a11 p
002765512 520__ $$aThe 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 production and analysis jobs to process simulation and detector data. In total more than 500 PB of data is distributed over more than 150 sites in the WLCG and handled by the ATLAS data management system Rucio. To prepare for the ever growing data rate in future LHC runs new developments are underway to embrace industry accepted protocols and technologies, and utilize opportunistic resources in a standard way. This paper reviews how the Google and Amazon Cloud computing services have been seamlessly integrated as a Grid site within PanDA and Rucio. Performance and brief cost evaluations will be discussed. Such setups could offer advanced Cloud tool-sets and provide added value for analysis facilities that are under discussions for LHC Run-4.
002765512 594__ $$aSLIDE
002765512 595__ $$aCERN CDS-Invenio WebSubmit
002765512 65017 $$2SzGeCERN$$aParticle Physics - Experiment
002765512 65027 $$2SzGeCERN$$aSoftware
002765512 690C_ $$aCERN
002765512 690C_ $$aINTNOTE
002765512 690C_ $$aPRIVATLAS
002765512 690C_ $$aPUBLATLASSLIDE
002765512 693__ $$aCERN LHC$$eATLAS
002765512 700__ $$0AUTHOR|(CDS)2069967$$0AUTHOR|(SzGeCERN)643806$$aBarreiro Megino, Fernando [email protected]$$uUniversity of Texas at Arlington (US)
002765512 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00316070$$0AUTHOR|(SzGeCERN)622623$$0AUTHOR|(CDS)2070208$$aBawa, Harinder [email protected]$$uCalifornia State University (US)
002765512 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00300320$$0AUTHOR|(SzGeCERN)385561$$0AUTHOR|(CDS)2067365$$aDe, [email protected]$$uUniversity of Texas at Arlington (US)
002765512 700__ $$0AUTHOR|(CDS)2051432$$0AUTHOR|(SzGeCERN)405283$$0AUTHOR|(INSPIRE)INSPIRE-00216840$$aKlimentov, [email protected]$$uBrookhaven National Laboratory (US)
002765512 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00218873$$0AUTHOR|(SzGeCERN)663551$$0AUTHOR|(CDS)2068820$$aLassnig, [email protected]$$uCERN
002765512 700__ $$0AUTHOR|(INSPIRE)INSPIRE-00223458$$0AUTHOR|(SzGeCERN)614357$$0AUTHOR|(CDS)2069843$$aSerfon, [email protected]$$uBrookhaven National Laboratory (US)
002765512 700__ $$0AUTHOR|(CDS)2140932$$0AUTHOR|(SzGeCERN)793599$$aWegner, [email protected]$$uBergische Universitaet Wuppertal (DE)
002765512 710__ $$5PH-EP
002765512 710__ $$gATLAS Collaboration
002765512 8564_ $$uhttp://cds.cern.ch/record/2765058$$yOriginal Communication (restricted to ATLAS)
002765512 859__ [email protected]
002765512 8564_ $$82291468$$s1339397$$uhttp://cds.cern.ch/record/2765512/files/ATL-SOFT-SLIDE-2021-130.pdf
002765512 916__ $$sn$$w202170
002765512 960__ $$a91
002765512 962__ $$b2750676$$nonline20210517
002765512 963__ $$aPUBLIC
002765512 970__ $$a000771440CER
002765512 980__ $$aPUBLATLASSLIDE
002765512 980__ $$aSlides