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Jesse Tuglu

dblp:303/0241 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Distributed systems
consensus
0.512021
Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021
Distributed systems
fault tolerance
0.512021
Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021
Distributed systems › replication
state machine replication
0.512021
Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021
Cloud and datacenter computing › datacenter storage
datacenter replication
0.112021
Rabia: Simplifying State-Machine Replication Through Randomization · SOSP 2021

Methods — techniques the papers use, named apart from their topics

randomization · 0.5
YearPublicationVenuePosition
2021 Rabia: Simplifying State-Machine Replication Through Randomization
abstract
We 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
SOSP2