Request Causality Analysis
Request Causality Analysis is a methodological framework within distributed tracing that identifies and models the causal relationships between discrete service requests in a distributed system to determine the temporal and dependency-driven propagation of operations across system components.
5
Publications
160
Citations
33
Authors
8
Institutions
Publications per year
2017–2026
2
Parents
5
Principled workflow-centric tracing of distributed systems
Raja R. Sambasivan, Ilari Shafer, Jonathan Mace et al. · 2016 · 44 citations · Full text
The Millibottleneck Theory of Performance Bugs, and Its Experimental Verification
Calton Pu, Joshua Kimball, Chien-An Lai et al. · 2017 · 15 citations
Transparent tracing of microservice-based applications
Matheus Santana, Adalberto R. Sampaio, Marcos Andrade et al. · 2019 · 15 citations
Measuring web similarity from dual-stacked hosts
Steffie Jacob Eravuchira, Vaibhav Bajpai, Jürgen Schönwälder et al. · 2016 · 12 citations
1–5 of 5
33
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 33
8
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
1 publications
44 citations
IBM (United States)
Armonk, United States
1 h-index
3 publications
222 citations
John Brown University
Siloam Springs, United States
1 h-index
2 publications
88 citations

Pennsylvania State University
State College, United States
1 h-index
3 publications
222 citations
Constructor University
Bremen, Germany
1 h-index
2 publications
24 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
88 citations

Universidade Federal de Pernambuco
Recife, Brazil
1 h-index
4 publications
60 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
13 publications
195 citations
1–8 of 8