Improving Online Aggregation Performance for Skewed Data Distribution-Reference-Cited by-同舟云学术

Improving Online Aggregation Performance for Skewed Data Distribution

Published:2012 Issue: Volume: Page:18-32
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
Short-container-title:

Author:

Wang Yuxiang,Luo Junzhou,Song Aibo,Jin Jiahui,Dong Fang

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-29038-1_4.pdf

Reference15 articles.

1. Wu, S., Ooi, B.C., Tan, K.L.: Continuous sampling for online aggregation over multiple queries. In: SIGMOD 2010, pp. 651–662. ACM, New York (2010)

2. Chaudhuri, S., Das, G., Datar, M., Motwani, R., Narasayya, V.: Overcoming limitations of sampling for aggregation queries. In: ICDE 2001, pp. 534–542 (2001)

3. Hellerstein, J.M., Haas, P.J., Wang, H.J.: Online aggregation. SIGMOD Rec. 26, 171–182 (1997)

4. Haas, P.J.: Large-sample and deterministic confidence intervals for online aggregation. In: SSDBM 1997, pp. 51–63. IEEE Computer Society, Washington, DC, USA (1997)

5. Haas, P.J., Hellerstein, J.M.: Ripple joins for online aggregation. SIGMOD Rec. (1999)

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