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An identified major bottleneck today is fast and efficient access to and evaluation of high performance computing results. This contribution addresses the necessity of developing techniques for efficient retrieval of requested subsets of large datasets from mass storage devices (e.g., magnetic tape). Furthermore, the benefit of managing large spatio-temporal data sets, e.g., generated by simulations of climate models or physical experiments, with Data Base Management Systems (DBMS) will be shown. Such DBMS must be able to handle very large data sets stored on mass storage devices. This means DBMS need a smart connection to tertiary storage systems with optimized access strategies. HEAVEN (Hierarchical Storage and Archive Environment for Multidimensional Array Database Management Systems) is specifically designed and optimized for storing multidimensional array...
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Reiner, B., Hahn, K. (2009). Storage of Large Scale Multidimensional Data. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1281
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DOI: https://doi.org/10.1007/978-0-387-39940-9_1281
Publisher Name: Springer, Boston, MA
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