Trace Instrumentation
Trace Instrumentation is a methodological framework within distributed tracing that integrates monitoring probes into software components to capture and propagate contextual execution data across distributed transactions, thereby enabling the reconstruction and analysis of end-to-end request flows in heterogeneous, microservices-based environments.
50
Publications
4.3K
Citations
185
Authors
69
Institutions
Publications per year
2017–2026
9
Parents
50
Dapper, a Large-Scale Distributed Systems Tracing Infrastructure
Benjamin H. Sigelman, Luiz André Barroso, Mike Burrows et al. · 2010 · 471 citations
Dynamic instrumentation of production systems
Bryan Cantrill, Michael W. Shapiro, Adam Leventhal · 2004 · 436 citations
Characterization of storage workload traces from production Windows Servers
Swaroop Kavalanekar, Bruce Worthington, Qi Zhang et al. · 2008 · 259 citations
Jonathan Mace, Ryan Roelke, Rodrigo Fonseca · 2015 · 192 citations
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69
Microsoft (United States)
Redmond, United States
4 h-index
16 publications
2.4K citations
John Brown University
Siloam Springs, United States
3 h-index
6 publications
695 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
3.5K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
18 publications
1.5K citations
University of Michigan
Ann Arbor, United States
3 h-index
8 publications
231 citations
Northwestern University
Evanston, United States
2 h-index
2 publications
65 citations
Intel (United Kingdom)
Swindon, United Kingdom
2 h-index
7 publications
382 citations
ETH Zurich
Zurich, Switzerland
2 h-index
5 publications
122 citations
1–8 of 69
TOCS · 2 publications · 84 citations
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1 publications · 36 citations
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1 publications · 20 citations
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Conference · 1 publications · 64 citations
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PER · 1 publications · 134 citations
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