Adaptive Query Optimization
Adaptive Query Optimization is a query optimization paradigm that dynamically adjusts execution plans during query processing based on runtime information, distinguishing itself from static and dynamic optimization approaches by incorporating feedback mechanisms to respond to unforeseen variations in data characteristics and system conditions.
85
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4.3K
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2017–2026
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Sameer Agarwal, Barzan Mozafari, Aurojit Panda et al. · 2013 · 709 citations
An adaptive query execution system for data integration
Zachary G. Ives, Daniela Florescu, Marc Friedman et al. · ACM SIGMOD Record · 1999 · 394 citations
Donald Kossmann, Konrad Stocker · ACM Transactions on Database Systems · 2000 · 210 citations · Full text
Bao: Making Learned Query Optimization Practical
Ryan Marcus, Parimarjan Negi, Hongzi Mao et al. · 2021 · 186 citations · Full text
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IBM Research - Almaden
San Jose, United States
5 h-index
11 publications
567 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
14 publications
2.7K citations
University of Washington
Seattle, United States
4 h-index
11 publications
2.5K citations
Technical University of Munich
Munich, Germany
4 h-index
5 publications
189 citations
University of California, Berkeley
Berkeley, United States
4 h-index
8 publications
3.2K citations
Intel (United States)
Santa Clara, United States
3 h-index
5 publications
492 citations

University of Waterloo
Waterloo, Canada
3 h-index
5 publications
201 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
6 publications
814 citations
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PVLDB · 9 publications · 277 citations
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TODS · 4 publications · 335 citations
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Repository · 4 publications · 110 citations
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3 publications · 490 citations
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2 publications · 52 citations
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