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A Methodology for Account Management in Grid Computing Environments

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Grid Computing — GRID 2001 (GRID 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2242))

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Abstract

A national infrastructure of Grid computing environments will provide access for a large pool of users to a large number of distributed computing resources. Providing access for the complete pool of potential users would put an unacceptably large administrative burden on sites that participate in the Grid. Current approaches to solve this problem require an account for each user at a site, or maps all users into one account. This paper proposes an alternative approach to account allocation that provides the benefits of persistent accounts while minimizing the administrative burden on Grid resource providers. A technique for calculating the upper bound on the number of jobs and users offered to the system from the Grid that is based on historical use is presented. Finally, application of this approach to the National Institutes of Health Visible Human Project is described.

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Author information

Authors and Affiliations

  1. Center for Parallel Computing, University of Michigan, 2281 Bonisteel Blvd., 48109, Ann Arbor, MI, USA

    Thomas J. Hacker

  2. Cell & Developmental Biology, University of Michigan, 1071 Beal Ave., 48109, Ann Arbor, MI, USA

    Brian D. Athey

Authors
  1. Thomas J. Hacker
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  2. Brian D. Athey
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Editor information

Editors and Affiliations

  1. High Performance Computing, The Aerospace Corp., 2350 East El Segundo Blvd., 90245, El Segundo, CA, USA

    Craig A. Lee

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© 2001 Springer-Verlag Berlin Heidelberg

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Hacker, T.J., Athey, B.D. (2001). A Methodology for Account Management in Grid Computing Environments. In: Lee, C.A. (eds) Grid Computing — GRID 2001. GRID 2001. Lecture Notes in Computer Science, vol 2242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45644-9_13

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  • DOI: https://doi.org/10.1007/3-540-45644-9_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42949-4

  • Online ISBN: 978-3-540-45644-5

  • eBook Packages: Springer Book Archive

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