EDBT 2026 Demo / reviewers in the wild / expert
Angting Cai
dblp:416/7008
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0001-0258-6952ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 100% | |
| Software engineering, system software, and programming languages
2 papers |
Software testing · 54% Operating systems · 46% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › fault tolerance
failure recovery |
1.9 | 2 | 2026 | Pilot Execution: Simulating Failure Recovery In Situ for Production Distributed Systems · NSDI 2026 Optimistic Recovery for High-Availability Software via Partial Process State Preservation · SOSP 2025 |
Distributed systems
fault tolerance |
0.9 | 1 | 2025 | Optimistic Recovery for High-Availability Software via Partial Process State Preservation · SOSP 2025 |
Software testing › mutation testing
fault injection |
0.3 | 1 | 2026 | Pilot Execution: Simulating Failure Recovery In Situ for Production Distributed Systems · NSDI 2026 |
Methods — techniques the papers use, named apart from their topics
optimistic recovery · 1.7checkpointing · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Pilot Execution: Simulating Failure Recovery In Situ for Production Distributed Systems
Angting Cai, Chang Lou |
NSDI | 2 |
| 2025 | Optimistic Recovery for High-Availability Software via Partial Process State PreservationabstractAchieving high availability for modern software requires fast and correct recovery from inevitable faults. This is notoriously difficult. Existing techniques either guarantee correctness by discarding all state but suffer from long downtime, or preserve all state to recover quickly but reintroduce the fault. Yuzhuo Jing, Yuqi Mai, Angting Cai, Wanning He, Xiaoyang Qian, Peter M. Chen, Peng Huang 0005 |
SOSP | 3 |