Runtime Profiling
Runtime Profiling is a dynamic analysis technique within runtime systems that systematically observes and quantifies program behavior during execution to capture performance characteristics, resource usage, and operational patterns specific to the running instance.
235
Publications
10K
Citations
541
Authors
191
Institutions
Publications per year
2017–2026
24
235
Timothy Sherwood, Suleyman Sair, Brad Calder · 2003 · 456 citations
A framework for reducing the cost of instrumented code
Matthew Arnold, Barbara G. Ryder · 2001 · 366 citations · Full text
T. Ball, James R. Larus · 2002 · 185 citations · Full text
Imbalance in the cloud: An analysis on Alibaba cluster trace
Chengzhi Lu, Kejiang Ye, Guoyao Xu et al. · 2017 · 183 citations
1–5 of 235
541
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1–5 of 541
191
IBM (United States)
Armonk, United States
19 h-index
48 publications
3.4K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
17 publications
544 citations
Georgia Institute of Technology
Atlanta, United States
11 h-index
26 publications
1.2K citations
Università della Svizzera italiana
Lugano, Switzerland
10 h-index
31 publications
696 citations
University of California San Diego
San Diego, United States
10 h-index
22 publications
2.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
27 publications
1.1K citations

Sapienza University of Rome
Rome, Italy
7 h-index
21 publications
510 citations

Lawrence Livermore National Laboratory
Livermore, United States
7 h-index
26 publications
1.4K citations
1–8 of 191
20 publications · 499 citations
13
h-index
8 publications · 243 citations
8
h-index
SEN · 4 publications · 91 citations
4
h-index
4 publications · 146 citations
4
h-index
ENTCS · 3 publications · 70 citations
3
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1–5