The Oklahoma PetaStore: A Business Model for Big Data on a Small Budget

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dc.contributor.authorNeeman, Henry
dc.contributor.authorCalhoun, Patrick
dc.contributor.authorAkin, David
dc.contributor.authorZimmerman, Brett
dc.contributor.authorAlexander, Joshua
dc.contributor.authorKeller, Fred
dc.contributor.authorGeorge, Brandon
dc.date.accessioned2015-07-30T20:16:43Z
dc.date.available2015-07-30T20:16:43Z
dc.date.issued2014-07-13
dc.description.abstractIn the era of Big Data, research productivity can be highly sensitive to the availability of large scale, long term archival storage. Unfortunately, many mass storage systems are prohibitively expensive at scales appropriate for individual institutions rather than for national centers. Furthermore, a key issue is the set of circumstances under which researchers can, and are willing to, adopt a centralized technology that, in a pure cost recovery model, might be, or might appear to be, more expensive than what the research teams could build on their own. This paper examines a business model that addresses these concerns in a comprehensive manner, distributing the costs among a funding agency, the institution and the research teams, thereby reducing the challenges faced by each.en_US
dc.description.peerreviewNoen_US
dc.description.sponsorshipXSEDE '14 Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment The University of Oklahoma The University of Oklahoma Supercomputing Center for Education and Research (OSCER)en_US
dc.identifier.citationPatrick Calhoun, David Akin, Joshua Alexander, Brett Zimmerman, Fred Keller, Brandon George, and Henry Neeman. 2014. The Oklahoma PetaStore: A Business Model for Big Data on a Small Budget. In Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE '14). ACM, New York, NY, USA, , Article 48 , 8 pages. DOI=10.1145/2616498.2616548 http://doi.acm.org/10.1145/2616498.2616548
dc.identifier.doi10.1145/2616498.2616548
dc.identifier.urihttp://hdl.handle.net/11244/15450
dc.languageen_USen_US
dc.relation.urihttp://dl.acm.org/citation.cfm?id=2616548
dc.subjectComputer Science.en_US
dc.titleThe Oklahoma PetaStore: A Business Model for Big Data on a Small Budgeten_US
dc.typeArticleen_US
ou.groupOklahoma Supercomputing::General::XSEDE::2014en_US
shareok.orcid0000-0002-4528-5391

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