Cost-based Query Optimization
Cost-Based Query Optimization is a query optimization strategy that belongs to the class of database optimization techniques and is distinguished by its use of statistical summaries and cost models to estimate and minimize the execution cost of database queries in serverless environments.
407
Publications
23.8K
Citations
952
Authors
275
Institutions
Publications per year
2017–2026
64
Variants
Cbo
Parents
407
Efficient query evaluation on probabilistic databases
Nilesh Dalvi, Dan Suciu · The VLDB Journal · 2006 · 979 citations
An overview of query optimization in relational systems
Surajit Chaudhuri · 1998 · 619 citations · Full text
Efficient and extensible algorithms for multi query optimization
Prasan Roy, S. Seshadri, S. Sudarshan et al. · ACM SIGMOD Record · 2000 · 409 citations
The Volcano optimizer generator: extensibility and efficient search
Goetz Graefe, William J. McKenna · 2002 · 384 citations
1–5 of 407
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275
Microsoft (United States)
Redmond, United States
20 h-index
72 publications
5.5K citations
IBM (United States)
Armonk, United States
17 h-index
35 publications
2K citations
Stanford University
Stanford, United States
16 h-index
27 publications
3K citations
University of Wisconsin–Madison
Madison, United States
15 h-index
38 publications
3.8K citations
IBM Research - Almaden
San Jose, United States
13 h-index
40 publications
3.8K citations
University of California, Berkeley
Berkeley, United States
12 h-index
15 publications
1.1K citations

University of Waterloo
Waterloo, Canada
12 h-index
24 publications
674 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
11 h-index
21 publications
1K citations
1–8 of 275
PVLDB · 37 publications · 1.5K citations
23
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TODS · 20 publications · 1K citations
18
h-index
21 publications · 1.2K citations
17
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TKDE · 14 publications · 546 citations
11
h-index
Conference · 8 publications · 824 citations
8
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1–5