Query Performance Monitoring is a data observability mechanism that systematically tracks, analyzes, and evaluates the execution efficiency and resource consumption of database queries to identify performance bottlenecks and ensure optimal query runtime behavior.
80
Publications
3.9K
Citations
240
Authors
101
Institutions
Publications per year
2017–2026
10
Parents
Publications
80
Kyriakos Mouratidis, Dimitris Papadias, Marios Hadjieleftheriou · 2005 · 313 citations · Full text
LEO - DB2's LEarning Optimizer
Michael Stillger, Guy M. Lohman, Volker Markl et al. · Very Large Data Bases · 2001 · 305 citations
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Authors
240
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- SC
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1–5 of 240
Institutions
101
Microsoft (United States)
Redmond, United States
5 h-index
17 publications
556 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
7 publications
269 citations
University of California, Berkeley
Berkeley, United States
4 h-index
10 publications
580 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
10 publications
448 citations
UNSW Sydney
Sydney, Australia
3 h-index
13 publications
574 citations
University of California, Santa Cruz
Santa Cruz, United States
3 h-index
5 publications
244 citations
Google (United States)
Mountain View, United States
3 h-index
7 publications
124 citations
Oracle (United States)
Austin, United States
3 h-index
18 publications
472 citations
1–8 of 101
Venues
- Proceedings of the VLDB Endowment
PVLDB · 7 publications · 149 citations
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- Data & Knowledge Engineering
DKE · 3 publications · 66 citations
3
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 3 publications · 84 citations
3
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- International Journal of Man-Machine Studies
2 publications · 66 citations
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- IBM Systems Journal
2 publications · 143 citations
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