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Data Replication and the Storage Capacity of Data Grids

  • Conference paper
High Performance Computing for Computational Science - VECPAR 2008 (VECPAR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5336))

Abstract

Storage is undoubtedly one of the main resources in data grids, and planning the capacity of storage nodes is an important step in any data-grid design. This paper focuses on storage-capacity planning for data grids. We have developed a tool to calculate, for a specific scenario, the minimum capacity required for each storage node in a grid, and we have used this tool to show that different strategies used for data replication may lead to different storage requirements, affecting the storage-capacity planning.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Santa Clara University, Santa Clara, CA 95053-0566, USA

    Silvia Figueira

  2. SGI, 1140 E. Arques Avenue, Sunnyvale, CA 94085, USA

    Tan Trieu

Authors
  1. Silvia Figueira
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  2. Tan Trieu
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Editor information

Editors and Affiliations

  1. Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias s/n, 4200-465, Porto, Portugal

    José M. Laginha M. Palma

  2. University of Toulouse, INP (ENSEEIHT), IRIT, 2 rue Charles-Camichel, 31071, Toulouse CEDEX 7, France

    Patrick R. Amestoy

  3. University of Toulouse, INP (ENSEEIHT); IRIT, rue Charles-Camichel, 31071, Toulouse CEDEX 7, France

    Michel Daydé

  4. Federal University of Rio de Janeiro, P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil

    Marta Mattoso

  5. Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    João Correia Lopes

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© 2008 Springer-Verlag Berlin Heidelberg

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Figueira, S., Trieu, T. (2008). Data Replication and the Storage Capacity of Data Grids. In: Palma, J.M.L.M., Amestoy, P.R., Daydé, M., Mattoso, M., Lopes, J.C. (eds) High Performance Computing for Computational Science - VECPAR 2008. VECPAR 2008. Lecture Notes in Computer Science, vol 5336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92859-1_50

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  • DOI: https://doi.org/10.1007/978-3-540-92859-1_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92858-4

  • Online ISBN: 978-3-540-92859-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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