VLDB 2026 Research / reviewers in the wild / expert
Zijian Qin
dblp:281/5239
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0006-8728-0501ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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
1 paper |
Distributed systems · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
consensus |
1.0 | 1 | 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual Evaluation · EuroSys 2026 |
Distributed systems › consensus
geo-distributed consensus |
1.0 | 1 | 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual Evaluation · EuroSys 2026 |
Distributed systems
replication |
1.0 | 1 | 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual Evaluation · EuroSys 2026 |
Distributed systems › replication
state machine replication |
1.0 | 1 | 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual Evaluation · EuroSys 2026 |
Distributed systems › fault tolerance › failure models
crash failures |
0.3 | 1 | 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual Evaluation · EuroSys 2026 |
Distributed systems
fault tolerance |
0.3 | 1 | 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual Evaluation · EuroSys 2026 |
Methods — techniques the papers use, named apart from their topics
counterfactual evaluation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Avicenna: Masking Slowdowns in Replicated State Machines with Counterfactual EvaluationabstractGeo-distributed replicated state machines (RSMs) are at the heart of many production distributed systems, offering linearizability and fault tolerance via consensus protocols. Most existing protocols target crash fault tolerance, however, and are vulnerable to fail-slow faults, where a single slow replica can significantly degrade system latency. Existing protocols that tolerate fail-slow faults do so with much higher normal-case latency in geo-distributed settings. Christopher Hodsdon, Zijian Qin, Khiem Ngo, Siddhartha Sen 0001, Ethan Katz-Bassett, Wyatt Lloyd |
EuroSys | 2 |