Distributed Debugging
Distributed Debugging is a systematic process for identifying, analyzing, and resolving execution anomalies in distributed systems by coordinating diagnostic observations across multiple interconnected nodes while accounting for non-determinism, partial failures, and temporal causality.
200
Publications
9.9K
Citations
455
Authors
157
Institutions
Publications per year
2017–2026
17
200
Performance debugging for distributed systems of black boxes
Marcos K. Aguilera, Jeffrey C. Mogul, Janet L. Wiener et al. · 2003 · 333 citations
Pip: detecting the unexpected in distributed systems
Patrick Reynolds, Charles Killian, Janet L. Wiener et al. · 2006 · 318 citations
Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg et al. · 2009 · 223 citations
1–5 of 200
455
8
h-index
7
h-index
Institut de Recherche en Informatique et Systèmes Aléatoires, France
6 publications · 110 citations
6
h-index
5
h-index
5
h-index
1–5 of 455
157

University of Massachusetts Amherst
Amherst Center, United States
9 h-index
12 publications
720 citations

University of Waterloo
Waterloo, Canada
9 h-index
12 publications
351 citations
The University of Texas at Austin
Austin, United States
8 h-index
13 publications
489 citations
Purdue University West Lafayette
West Lafayette, United States
8 h-index
28 publications
1.3K citations
Hewlett-Packard (United States)
Palo Alto, United States
6 h-index
17 publications
4.2K citations
Microsoft Research Asia (China)
Beijing, China
6 h-index
25 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
6 h-index
20 publications
2K citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
6 h-index
16 publications
322 citations
1–8 of 157
12 publications · 381 citations
12
h-index
TSE · 6 publications · 348 citations
6
h-index
3 publications · 102 citations
3
h-index
TPDS · 3 publications · 218 citations
3
h-index
TOCS · 3 publications · 208 citations
3
h-index
1–5