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Storing large volumes of structured scientific data on tertiary storage

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High-Performance Computing and Networking (HPCN-Europe 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1593))

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Abstract

As the scientific data become larger and larger, a method is needed to store and retrieve it in time- and cost-efficient way. NCSA HDF is a data/programming model widely used for storing and sharing scientific data. We present an approach to store large volumes of structured scientific data in HDF format on tertiary storage.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, AGH, al. Mickiewicza 30, 30-059, Cracow, Poland

    J. Mościński, D. Nikolow, M. Pogoda & R. Słota

  2. ACC CYFRONET, ul. Nawojki 11, 30-950, Cracow, Poland

    J. Mościński & M. Pogoda

Authors
  1. J. Mościński
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  2. D. Nikolow
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  3. M. Pogoda
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  4. R. Słota
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Editor information

Peter Sloot Marian Bubak Alfons Hoekstra Bob Hertzberger

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© 1999 Springer-Verlag

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Mościński, J., Nikolow, D., Pogoda, M., Słota, R. (1999). Storing large volumes of structured scientific data on tertiary storage. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0100704

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  • DOI: https://doi.org/10.1007/BFb0100704

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65821-4

  • Online ISBN: 978-3-540-48933-7

  • eBook Packages: Springer Book Archive

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