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Integration of end-user Cloud storage for CMS analysis

Riahi, Hassen and Aimar, Alberto and Ayllón, Alejandro Álvarez and Balcas, Justas and Ciangottini, Diego and Hernández, José M. and Keeble, Oliver and Magini, Nicolò and Manzi, Andrea and Mascetti, Luca and Mascheroni, Marco and Tanasijczuk, Andres Jorge and Vaandering, Eric Wayne (2018) Integration of end-user Cloud storage for CMS analysis. Future Generation Computer Systems, 78 (3). pp. 1079-1082. ISSN 0167-739X. http://resolver.caltech.edu/CaltechAUTHORS:20170707-130507788

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Abstract

End-user Cloud storage is increasing rapidly in popularity in research communities thanks to the collaboration capabilities it offers, namely synchronisation and sharing. CERN IT has implemented a model of such storage named, CERNBox, integrated with the CERN AuthN and AuthZ services. To exploit the use of the end-user Cloud storage for the distributed data analysis activity, the CMS experiment has started the integration of CERNBox as a Grid resource. This will allow CMS users to make use of their own storage in the Cloud for their analysis activities as well as to benefit from synchronisation and sharing capabilities to achieve results faster and more effectively. It will provide an integration model of Cloud storages in the Grid, which is implemented and commissioned over the world’s largest computing Grid infrastructure, Worldwide LHC Computing Grid (WLCG). In this paper, we present the integration strategy and infrastructure changes needed in order to transparently integrate end-user Cloud storage with the CMS distributed computing model. We describe the new challenges faced in data management between Grid and Cloud and how they were addressed, along with details of the support for Cloud storage recently introduced into the WLCG data movement middleware, FTS3. The commissioning experience of CERNBox for the distributed data analysis activity is also presented.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.future.2017.04.021DOIArticle
http://www.sciencedirect.com/science/article/pii/S0167739X17306271PublisherArticle
Additional Information:© 2017 Elsevier B.V. Received 1 April 2016, Revised 19 January 2017, Accepted 11 April 2017, Available online 19 May 2017.
Subject Keywords:Data transfer protocols; Cloud storage; Distributed data management; Distributed data analysis
Record Number:CaltechAUTHORS:20170707-130507788
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170707-130507788
Official Citation:Hassen Riahi, Alberto Aimar, Alejandro Álvarez Ayllón, Justas Balcas, Diego Ciangottini, José M. Hernández, Oliver Keeble, Nicolò Magini, Andrea Manzi, Luca Mascetti, Marco Mascheroni, Andres Jorge Tanasijczuk, Eric Wayne Vaandering, Integration of end-user Cloud storage for CMS analysis, In Future Generation Computer Systems, Volume 78, Part 3, 2018, Pages 1079-1082, ISSN 0167-739X, https://doi.org/10.1016/j.future.2017.04.021. (http://www.sciencedirect.com/science/article/pii/S0167739X17306271)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78859
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:07 Jul 2017 20:10
Last Modified:09 Oct 2017 16:09

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