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.
Cite
CITATION STYLE
Mościński, J., Nikolow, D., Pogoda, M., & Slota, R. (1999). Storing large volumes of structured scientific data on tertiary storage. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1593, pp. 1262–1265). Springer Verlag. https://doi.org/10.1007/bfb0100704
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