Database Bottleneck Analysis
Database Bottleneck Analysis is a systematic method for identifying and diagnosing performance-limiting components within database systems by analyzing resource utilization, query execution patterns, and data access structures to isolate constraints that impede overall throughput and responsiveness.
77
Publications
4.7K
Citations
229
Authors
76
Institutions
Publications per year
2017–2026
12
77
Approximating block accesses in database organizations
S. Bing Yao · Communications of the ACM · 1977 · 385 citations · Full text
Djellel Difallah, Andrew Pavlo, Carlo Curino et al. · Proceedings of the VLDB Endowment · 2013 · 383 citations
Making sense of performance in data analytics frameworks
Kay Ousterhout, Ryan Rasti, Sylvia Ratnasamy et al. · Networked Systems Design and Implementation · 2015 · 332 citations
AutoAdmin “what-if” index analysis utility
Surajit Chaudhuri, Vivek Narasayya · 1998 · 254 citations · Full text
1–5 of 77
229
École Polytechnique Fédérale de Lausanne, Switzerland
4 publications · 344 citations
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3
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3
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3
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3
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1–5 of 229
76
University of California, Berkeley
Berkeley, United States
6 h-index
22 publications
2.3K citations
Oracle (United States)
Austin, United States
4 h-index
7 publications
430 citations

University of Waterloo
Waterloo, Canada
4 h-index
6 publications
212 citations
IBM Research - Almaden
San Jose, United States
4 h-index
5 publications
732 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
12 publications
1K citations
Microsoft (United States)
Redmond, United States
3 h-index
6 publications
172 citations
Hewlett-Packard (United States)
Palo Alto, United States
3 h-index
8 publications
1.1K citations
Berkeley College
New York, United States
3 h-index
10 publications
796 citations
1–8 of 76
PVLDB · 7 publications · 626 citations
7
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TODS · 3 publications · 97 citations
3
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2 publications · 217 citations
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PER · 2 publications · 41 citations
2
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2 publications · 406 citations
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