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
Link To Document :
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