• DocumentCode
    1626744
  • Title

    Robust Cardinality and Cost Estimation for Skyline Operator

  • Author

    Chaudhuri, Surajit ; Dalvi, Nilesh ; Kaushik, Raghav

  • Author_Institution
    Microsoft Research, Redmond
  • fYear
    2006
  • Firstpage
    64
  • Lastpage
    64
  • Abstract
    Incorporating the skyline operator inside the relational engine requires solving the cardinality estimation and the cost estimation problem, hitherto unaddressed. We propose robust techniques to estimate the cardinality and the computational cost of Skyline, and through an empirical comparison, show that our technique is substantially more effective than traditional approaches. Finally, we show through an implementation in Microsoft SQL Server that skyline queries can substantially benefit from our techniques.
  • Keywords
    Computational efficiency; Costs; Data engineering; Database languages; Engines; Histograms; Robustness; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2006. ICDE '06. Proceedings of the 22nd International Conference on
  • Print_ISBN
    0-7695-2570-9
  • Type

    conf

  • DOI
    10.1109/ICDE.2006.131
  • Filename
    1617432