Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Bruno N. and Chaudhuri S. Automatic physical design tuning: a relaxation based approach. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2005.
Chaudhuri S. An overview of query optimization in relational systems. In Proc. 17th ACM SIGACT-SIGMOD-SIGART Symp. Principles of Database Systems, 1998.
Chaudhuri S. and Narasayya V. An efficient cost driven index selection tool for microsoft SQL server. In Proc. 23rd Int. Conf. on Very Large Data Bases, 1997.
Chaudhuri S. and Narasayya V. AutoAdmin “What-If” index analysis utility. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1998.
Chaudhuri S. and Narasayya V. Self-tuning database systems: a decade of progress. In Proc. 33rd Int. Conf. on Very Large Data Bases, 2007.
Graefe G. The Cascades framework for query optimization. Data Eng. Bull., 18(3), 1995.
Haas L., Freytag C., Lohman G., and Pirahesh H. 1989.Extensible query processing in Starburst. In Proc. ACM SIGMOD Int. Conf. on Management of Data,
Papadimitriou C.H. and Steiglitz K. Combinatorial optimization: algorithms and complexity. Dover, 1998.
Piatetsky-Shapiro G. The optimal selection of secondary indices is NP-complete. ACM SIGMOD Rec., 13(2):72–75, 1983.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
Chaudhuri, S., Narasayya, V., Weikum, G. (2009). Database Tuning using Combinatorial Search. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_33
Download citation
DOI: https://doi.org/10.1007/978-0-387-39940-9_33
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering