| ATLAS Note | |
| Report number | ATL-SOFT-PROC-2018-034 |
| Title | The Data Ocean project : An ATLAS and Google R&D collaboration |
| Author(s) |
Barisits, Martin (CERN) ; Barreiro, Fernando (Texas U., Arlington (main)) ; Beermann, Thomas (Innsbruck U.) ; De, Kaushik (Texas U., Arlington (main)) ; Dubreuil, Arnaud (U. Geneva (main)) ; Elmsheuser, Johannes (Brookhaven Natl. Lab.) ; Klimentov, Alexei (Brookhaven Natl. Lab.) ; Lassnig, Mario (CERN) ; Love, Peter (Lancaster U. (main)) ; Maeno, Tadashi (Brookhaven Natl. Lab.) ; Manzi, Andrea (CERN) ; Mashinistov, Ruslan (Brookhaven Natl. Lab.) ; Nilsson, Paul (Brookhaven Natl. Lab.) ; Panitkin, Sergey (Brookhaven Natl. Lab.) ; Wegner, Tobias Thomas (CERN) ; Bhatia, Karan (Google Inc.) ; Murphy, Andy (Google Inc.) |
| Corporate Author(s) | The ATLAS collaboration |
| Publication | 2019 |
| Imprint | 26 Nov 2018 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 214 (2019) 04020 |
| In: | 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.04020 |
| DOI | 10.1051/epjconf/201921404020 |
| Subject category | Particle Physics - Experiment |
| Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
| Free keywords | data management ; workflow management ; cloud computing ; cloud storage |
| Abstract | Transparent use of commercial cloud resources for scientific experiments is a hard problem. In this article, we describe the first steps of the Data Ocean R&D collaboration between the high-energy physics experiment ATLAS together with Google Cloud Platform, to allow seamless use of Google Compute Engine and Google Cloud Storage for physics analysis. We start by describing the three preliminary use cases that were identified at the beginning of the project. The following sections then detail the work done in the data management system Rucio and the workflow management systems PanDA and Harvester to interface Google Cloud Platform with the ATLAS distributed computing environment, and show the results of the integration tests. Afterwards, we describe the setup and results from a full ATLAS user analysis that was executed natively on Google Cloud Platform, and give estimates on projected costs. We close with a summary and and outlook on future work. |
| Related document | Slides ATL-SOFT-SLIDE-2018-421 |
| Copyright/License | publication: © 2019-2024 The Authors (License: CC-BY-4.0) preprint: © 2018-2024 CERN for the benefit of the ATLAS Collaboration (License: CC-BY-4.0) |
Corresponding record in: Inspire
Registre creat el 2018-11-26, darrera modificació el 2022-08-10
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Original Communication (restricted to ATLAS)