Seamless integration of commercial Clouds with ATLAS Distributed Computing

May 20, 2021, 10:50 AM
Short Talk Distributed Computing, Data Management and Facilities Virtualisation


Johannes Elmsheuser (Brookhaven National Laboratory (US))


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 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.

Primary authors

Fernando Harald Barreiro Megino (University of Texas at Arlington) Dr Harinder Singh Bawa (California State University (US)) Kaushik De (University of Texas at Arlington (US)) Johannes Elmsheuser (Brookhaven National Laboratory (US)) Alexei Klimentov (Brookhaven National Laboratory (US)) Mario Lassnig (CERN) Cedric Serfon (Brookhaven National Laboratory (US)) Tobias Wegner (Bergische Universitaet Wuppertal (DE))

Presentation materials