• DocumentCode
    2848096
  • Title

    PnP: parallel and external memory iceberg cube computation

  • Author

    Chen, Ying ; Dehne, Frank ; Eavis, Todd ; Rau-Chaplin, Andrew

  • Author_Institution
    Dalhousie Univ., Halifax, NS, Canada
  • fYear
    2005
  • fDate
    5-8 April 2005
  • Firstpage
    576
  • Lastpage
    577
  • Abstract
    We present "Pipe \´n Prune" (PnP), a new hybrid method for iceberg-cube query computation. The novelty of our method is that it achieves a tight integration of top-down piping for data aggregation with bottom-up a priori data pruning. A particular strength of PnP is that it is very efficient for all of the following scenarios: (1) Sequential iceberg-cube queries. (2) External memory iceberg-cube queries. (3) Parallel iceberg-cube queries on shared-nothing PC clusters with multiple disks.
  • Keywords
    data mining; data structures; data warehouses; query processing; Pipe n Prune hybrid method; bottom-up a priori data pruning; data aggregation; memory iceberg-cube query computation; top-down piping; Clustering algorithms; Concurrent computing; Data structures; Delay; Load management; Performance analysis; Processor scheduling; Scalability; Sorting; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on
  • ISSN
    1084-4627
  • Print_ISBN
    0-7695-2285-8
  • Type

    conf

  • DOI
    10.1109/ICDE.2005.107
  • Filename
    1410173