CERN Accelerating science

ATLAS Note
Report number ATL-SOFT-PROC-2017-002
Title Consolidation of cloud computing in ATLAS
Author(s) Taylor, Ryan P. (University of Victoria) ; Cordeiro, Cristovao (CERN) ; Hover, John (Brookhaven National Laboratory (BNL)) ; Kouba, Tomas (Academy of Sciences of the Czech Republic, Institute of Physics) ; Love, Peter (Lancaster University, Department of Physics) ; Mcnab, Andrew (School of Physics and Astronomy, University of Manchester) ; Schovancova, Jaroslava (CERN Tier-0) ; Sobie, Randall (University of Victoria) ; Giordano, Domenico (CERN)
Corporate Author(s) The ATLAS collaboration
Collaboration ATLAS Collaboration
Publication 2017
Imprint 03 Jan 2017
Number of pages 8
In: J. Phys.: Conf. Ser. 898 (2017) 052008
In: 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.052008
DOI 10.1088/1742-6596/898/5/052008
Subject category Particle Physics - Experiment
Accelerator/Facility, Experiment CERN LHC ; ATLAS
Free keywords Virtualization ; Cloud technologies ; Monitoring ; Computing models ; Accounting ; Benchmarking
Abstract Throughout the first half of LHC Run 2, ATLAS cloud computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS cloud computing. Cloud activities are converging on a common contextualization approach for virtual machines, and cloud resources are sharing monitoring and service discovery components. We describe the integration of Vacuum resources, streamlined usage of the Simulation at Point 1 cloud for offline processing, extreme scaling on Amazon compute resources, and procurement of commercial cloud capacity in Europe. Finally, building on the previously established monitoring infrastructure, we have deployed a real-time monitoring and alerting platform which coalesces data from multiple sources, provides flexible visualization via customizable dashboards, and issues alerts and carries out corrective actions in response to problems.
Copyright/License publication: (License: CC-BY-3.0)

Corresponding record in: Inspire


 Record created 2017-01-03, last modified 2019-10-15


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