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Using Puppet to contextualize computing resources for ATLAS analysis on Google Compute Engine
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
2014 (English)In: 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP2013), Parts 1-6, 2014, Vol. 513, 032073- p.Conference paper (Refereed)
Abstract [en]

With the advent of commercial as well as institutional and national clouds, new opportunities for on-demand computing resources for the HEP community become available. The new cloud technologies also come with new challenges, and one such is the contextualization of computing resources with regard to requirements of the user and his experiment. In particular on Google's new cloud platform Google Compute Engine (GCE) upload of user's virtual machine images is not possible. This precludes application of ready to use technologies like CernVM and forces users to build and contextualize their own VM images from scratch. We investigate the use of Puppet to facilitate contextualization of cloud resources on GCE, with particular regard to ease of configuration and dynamic resource scaling.

Place, publisher, year, edition, pages
2014. Vol. 513, 032073- p.
, Journal of Physics Conference Series, ISSN 1742-6588 ; 513
National Category
Physical Sciences
URN: urn:nbn:se:uu:diva-235859DOI: 10.1088/1742-6596/513/3/032073ISI: 000342287200154OAI: diva2:762647
20th International Conference on Computing in High Energy and Nuclear Physics (CHEP), OCT 14-18, 2013, Amsterdam, NETHERLANDS

Group Author(s): ATLAS Collaboration

Available from: 2014-11-12 Created: 2014-11-11 Last updated: 2016-10-03Bibliographically approved
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Öhman, Henrik
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