Workflow Debugging
Workflow Debugging is a methodological framework within serverless computing that enables the systematic identification, analysis, and resolution of execution anomalies in orchestrated workflows by capturing and inspecting the state transitions, event dependencies, and function invocations across distributed, event-driven components.
9
Publications
189
Citations
34
Authors
16
Institutions
Publications per year
2017–2026
4
9
Conrad C. Labandeira · The Paleontological Society Papers · 2014 · 28 citations
Online Fault and Anomaly Detection for Large-Scale Scientific Workflows
Taghrid Samak, Dan Gunter, Monte Goode et al. · 2011 · 23 citations
Avinash Kumar, Zuozhi Wang, Shengquan Ni et al. · Proceedings of the VLDB Endowment · 2020 · 21 citations
1–5 of 9
34
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16
University of Washington
Seattle, United States
2 h-index
6 publications
144 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
6 publications
153 citations
University of San Francisco
San Francisco, United States
1 h-index
1 publications
28 citations
IBM Research - Brazil
Rio de Janeiro, Brazil
1 h-index
1 publications
10 citations
University of Southern California
Los Angeles, United States
1 h-index
5 publications
140 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
1 h-index
5 publications
50 citations
Cardiff University
Cardiff, United Kingdom
1 h-index
1 publications
11 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
28 citations
1–8 of 16
FGCS · 1 publications · 10 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 28 citations
1
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Conference · 1 publications · 28 citations
1
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PVLDB · 1 publications · 21 citations
1
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1–5