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Encyclopedia of Database Systems pp 1–7Cite as

Storage of Large Scale Multidimensional Data

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Synonyms

Hierarchical storage management; HSM; Multidimensional database management system; Raster data management

Definition

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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Recommended Reading

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Author information

Authors and Affiliations

  1. Technical University of Munich, Munich, Germany

    Bernd Reiner

  2. BMW AG, Munich, Germany

    Karl Hahn

Authors
  1. Bernd Reiner
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  2. Karl Hahn
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Corresponding author

Correspondence to Bernd Reiner .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. San Diego Supercomputer Center, Univ. of California San Diego, 9500 Gilman Drive, 92093-0505, La Jolla, CA, USA

    Amarnath Gupta

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© 2016 Springer Science+Business Media LLC

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Reiner, B., Hahn, K. (2016). Storage of Large Scale Multidimensional Data. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_1281-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_1281-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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