Trace Sampling
Trace Sampling is a method in distributed tracing that selectively captures a subset of execution traces from a cloud-native application’s observational data stream, distinguished by its use of probabilistic, adaptive, or policy-driven criteria to reduce monitoring overhead while preserving representativeness for subsequent analysis.
40
Publications
2K
Citations
151
Authors
66
Institutions
Publications per year
2017–2026
9
40
A. E. Andrews, J. Kofler, M. Trudeau et al. · Atmospheric measurement techniques · 2014 · 292 citations · Full text
Natural Sciences, Earth Sciences, Environmental Sciences +17
Jonathan Kaldor, Jonathan Mace, Michał Bejda et al. · 2017 · 138 citations · Full text
Bursty Tracing: A Framework for Low-Overhead Temporal Profiling
Martin Hirzel · 2001 · 122 citations
1–5 of 40
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Cooperative Institute for Research in Environmental Sciences, United States
2 publications · 313 citations
2
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1–5 of 151
66

Concordia University
Montreal, Canada
3 h-index
10 publications
247 citations
University of Colorado Boulder
Boulder, United States
3 h-index
12 publications
2.5K citations
University of Washington
Seattle, United States
3 h-index
4 publications
64 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
4 publications
128 citations
Max Planck Institute for Software Systems
Saarbrücken, Germany
2 h-index
5 publications
195 citations
Northwestern University
Evanston, United States
2 h-index
4 publications
188 citations

Université Laval
Québec, Canada
2 h-index
2 publications
51 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
82 citations
1–8 of 66
2 publications · 387 citations
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CCR · 2 publications · 65 citations
2
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1 publications · 22 citations
1
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1 publications · 28 citations
1
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1 publications · 24 citations
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