Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Storage of Large Scale Multidimensional Data

  • Bernd ReinerEmail author
  • Karl Hahn
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1281


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


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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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Technical University of MunichMunichGermany
  2. 2.BMW AGMunichGermany

Section editors and affiliations

  • Amarnath Gupta
    • 1
  1. 1.San Diego Supercomputer CenterUniv. of California San DiegoLa JollaUSA