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Experimenting NUMA for Scaleable CDR Processing

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Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

This paper describes the final results of an assessment of the scalability of the NUMA architecture for very large CDR databases. First a description of the experiment case and experiment set up is given. Next the results of the experiments are described. The paper ends with a conclusion on the applicability of the NUMA architecture for very large CDR stores.

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References

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Author information

Authors and Affiliations

  1. KPN Research, P.O. Box 15000, 9700 CD, Groningen, The Netherlands

    W. L. A. Derks, S. J. Dijkstra, H. D. Enting, W. Jonker & J. E. P. Wijnands

Authors
  1. W. L. A. Derks
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  2. S. J. Dijkstra
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  3. H. D. Enting
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  4. W. Jonker
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  5. J. E. P. Wijnands
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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© 2000 Springer-Verlag Berlin Heidelberg

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Cite this paper

Derks, W.L.A., Dijkstra, S.J., Enting, H.D., Jonker, W., Wijnands, J.E.P. (2000). Experimenting NUMA for Scaleable CDR Processing. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_91

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  • DOI: https://doi.org/10.1007/3-540-44469-6_91

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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