Performance Tuning
Performance Tuning is the systematic process of identifying, analyzing, and modifying system configurations, resource allocations, or execution behaviors within a computing environment to improve the efficiency, responsiveness, and scalability of database operations, application workflows, or infrastructure services in cloud and distributed systems.
1.6K
Publications
88K
Citations
4.5K
Authors
932
Institutions
Publications per year
2017–2026
430
1.6K
James Bergstra, Daniel Yamins, David Cox · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · 2013 · 1.6K citations · Full text
Empirical parameterization of setup, swash, and runup
Hilary F. Stockdon, R. A. Holman, Peter A. Howd et al. · Coastal Engineering · 2006 · 1.4K citations
1–5 of 1.6K
4.5K
University of Maryland, College Park, United States
18 publications · 980 citations
16
h-index
15
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14
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13
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12
h-index
1–5 of 4.5K
932
IBM (United States)
Armonk, United States
32 h-index
142 publications
8.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
29 h-index
125 publications
9.7K citations
Microsoft (United States)
Redmond, United States
25 h-index
112 publications
6.1K citations
Argonne National Laboratory
Lemont, United States
22 h-index
116 publications
12.5K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
21 h-index
43 publications
3.2K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
21 h-index
81 publications
4.1K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
21 h-index
103 publications
7.9K citations
Carnegie Mellon University
Pittsburgh, United States
21 h-index
92 publications
7.6K citations
1–8 of 932
PVLDB · 41 publications · 2.2K citations
25
h-index
Repository · 43 publications · 2.9K citations
21
h-index
TPDS · 20 publications · 1K citations
16
h-index
17 publications · 995 citations
14
h-index
TACO · 12 publications · 333 citations
10
h-index
1–5