Demo Data from VLDB 2026 / reviewers in the wild / expert
Jesse Tuglu
dblp:303/0241
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software 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
1 paper |
Distributed systems · 91% Cloud and datacenter computing · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
consensus |
0.5 | 1 | 2021 | Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021 |
Distributed systems
fault tolerance |
0.5 | 1 | 2021 | Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021 |
Distributed systems › replication
state machine replication |
0.5 | 1 | 2021 | Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021 |
Cloud and datacenter computing › datacenter storage
datacenter replication |
0.1 | 1 | 2021 | Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021 |
Methods — techniques the papers use, named apart from their topics
randomization · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Rabia: Simplifying State-Machine Replication Through RandomizationabstractWe introduce Rabia, a simple and high performance framework for implementing state-machine replication (SMR) within a datacenter. The main innovation of Rabia is in using randomization to simplify the design. Rabia provides the following two features: (i) It does not need any fail-over protocol and supports trivial auxiliary protocols like log compaction, snapshotting, and reconfiguration, components that are often considered the most challenging when developing SMR systems; and (ii) It provides high performance, up to 1.5x higher throughput than the closest competitor (i.e., EPaxos) in a favorable setup (same availability zone with three replicas) and is comparable with a larger number of replicas or when deployed in multiple availability zones. Haochen Pan, Jesse Tuglu, Neo Zhou, Yicheng Shen, Xiong Zheng, Joseph Tassarotti, Lewis Tseng, Roberto Palmieri |
SOSP | 2 |