Distributed Systems Debugging is a methodological framework within cloud observability that enables the systematic identification, analysis, and resolution of anomalous behaviors in distributed systems by leveraging end-to-end tracing, log correlation, and causal inference across heterogeneous, loosely coupled services.
80
Publications
5.6K
Citations
233
Authors
81
Institutions
Publications per year
2017–2026
12
Parents
Publications
80
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
1–5 of 80
Authors
233
- PB
8
h-index
- PR
4
h-index
- IB
4
h-index
- JC
4
h-index
- JL
4
h-index
1–5 of 233
Institutions
81
University of Massachusetts Amherst
Amherst Center, United States
9 h-index
12 publications
720 citations
Hewlett-Packard (United States)
Palo Alto, United States
6 h-index
14 publications
4.1K citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
16 publications
913 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
17 publications
1.1K citations
Duke University
Durham, United States
4 h-index
4 publications
1.3K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
18 publications
840 citations
University of California, Berkeley
Berkeley, United States
3 h-index
10 publications
481 citations
University of British Columbia
Vancouver, Canada
3 h-index
5 publications
224 citations
1–8 of 81
Venues
- IEEE Transactions on Software Engineering
TSE · 3 publications · 494 citations
3
h-index
- Journal of Systems and Software
JSS · 2 publications · 162 citations
2
h-index
- ACM SIGPLAN Notices
2 publications · 73 citations
2
h-index
- ACM SIGOPS Operating Systems Review
2 publications · 608 citations
2
h-index
- CL Technical Reports
Repository · 1 publications · 19 citations
1
h-index
1–5