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Parallel Hierarchical Data Cube for Range Sum Queries and Dynamic Updates

  • Jianzhong Li
  • Hong Gao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3180)

Abstract

While there are several studies on cube storage for range queries and dynamic updates, very few works have been done on addressing parallel cube storage structure in share nothing environments to improve the query performance. In this paper, we investigate the approach of how to answer range sum queries in a share nothing ennvironment, and present an effective parallel hierarchical data cube storage structure (PHDC for short), which provides better load balancing for both range sum queries and updates. Analytical and experimental results show that PHDC have better load-balance and achieve optimum speed-up for a very high percentage of range queries on multidimensional data cube.

Keywords

Range Query Data Cube Partition Point Dynamic Update Multidimensional Cube 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Jianzhong Li
    • 1
  • Hong Gao
    • 1
  1. 1.School of Computer Science and TechnologyHarbin Institute of TechnologyChina

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