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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© 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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