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dc.contributor.author McCaulay, D. Scott
dc.contributor.author Link, Matt R.
dc.date.accessioned 2012-10-22T15:54:08Z
dc.date.available 2012-10-22T15:54:08Z
dc.date.issued 2006
dc.identifier.citation D. Scott McCaulay and Matt R. Link. 2006. Research data storage available to researchers throughout the U.S. via the TeraGrid. In Proceedings of the 34th annual ACM SIGUCCS fall conference (SIGUCCS '06). ACM, New York, NY, USA, 231-234. DOI=10.1145/1181216.1181268 http://doi.acm.org/10.1145/1181216.1181268 en_US
dc.identifier.uri http://dl.acm.org/citation.cfm?doid=1181216.1181268 en_US
dc.identifier.uri http://hdl.handle.net/2022/14747
dc.description This is a preprint of a paper in the Proceedings of the 34th annual ACM SIGUCCS fall conference (2006). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. en_US
dc.description.abstract Many faculty members at small to mid-size colleges and universities do important, high quality research that requires significant storage. In many cases, such storage requirements are difficult to meet with local resources; even when local resources suffice, data integrity is best ensured by maintenance of a remote copy. Via the nationally-funded TeraGrid, Indiana University offers researchers at colleges and universities throughout the US the opportunity to easily store up to 1 TB of data within the IU data storage system. The TeraGrid is the National Science Foundation's flagship effort to create a national research cyberinfrastructure, and one key goal of the TeraGrid is to provide facilities that improve the productivity of the US research community generally. Providing facilities that improve the capacity and reliability of research data storage is an important part of this. This paper will describe the process for storing data at IU via the TeraGrid, and will in general discuss how this capability is part of a larger TeraGrid-wide data storage strategy. en_US
dc.description.sponsorship U's involvement in the TeraGrid, and the presentation of this material, is based upon work supported by the National Science Foundation under Grants No. 0833618, SCI451237, SCI535258, and SCI504075. IU received a significant grant-in-kind as part of its initial deployment of the massive data storage system. The deployment of IU’s MDSS has also been supported by the Indiana Genomics Initiative and the Indiana METACyt Initiative, both supported through grants from the Lilly Endowment, Inc; by Shared University Research grants from IBM, Inc.; and by NSF grants 0116050 and 0521433. en_US
dc.language.iso en_US en_US
dc.publisher ACM en_US
dc.rights Except where otherwise noted, the contents of this presentation are © the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. en_US
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ en_US
dc.subject storage en_US
dc.subject large-scale en_US
dc.subject grid computing en_US
dc.subject teragrid en_US
dc.title Research Data Storage Available to Researchers Throughout the U.S. via the TeraGrid en_US
dc.type Preprint en_US
dc.altmetrics.display true en_US


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Except where otherwise noted, the contents of this presentation are © the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work. Except where otherwise noted, the contents of this presentation are © the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/). This license includes the following terms: You are free to share – to copy, distribute and transmit the work and to remix – to adapt the work under the following conditions: attribution – you must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). For any reuse or distribution, you must make clear to others the license terms of this work.

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