Jialiang Qu

dblp:299/4887 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—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
Performance modeling and evaluation · 56% Cloud and datacenter computing · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cluster resource management and scheduling
0.812024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing · OSDI 2024
Performance modeling and evaluation › benchmarking
performance regression testing
0.812024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing · OSDI 2024
Performance modeling and evaluation
benchmarking
0.212024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing · OSDI 2024
YearPublicationVenuePosition
2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing
Mike Chow, Yang Wang 0009, Ayichew Hailu, Rohan Bopardikar, Jialiang Qu, David Meisner, Santosh Sonawane, Rodrigo Paim, Mack Ward, Ivor Huang, Matt McNally, Daniel Hodges, Zoltan Farkas, Caner Gocmen, Elvis Huang, Chunqiang Tang
OSDI7