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Demo Data from EDBT 2026 / reviewers in the wild / expert

Xiyao Zhou

dblp:317/0711 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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
Memory systems · 87% Cloud and datacenter computing · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › cache management › cache capacity management
cache capacity optimization		 0.612022
L-QoCo: learning to optimize cache capacity overloading in storage systems · DAC 2022
Memory systems
cache management		 0.612022
L-QoCo: learning to optimize cache capacity overloading in storage systems · DAC 2022
Cloud and datacenter computing › quality of service
tail latency		 0.212022
L-QoCo: learning to optimize cache capacity overloading in storage systems · DAC 2022

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

reinforcement learning · 0.6machine learning · 0.6
YearPublicationVenuePosition
2022 L-QoCo: learning to optimize cache capacity overloading in storage systems
abstract
Cache plays an important role to maintain high and stable performance (i.e. high throughput, low tail latency and throughput jitter) in storage systems. Existing rule-based cache management methods, coupled with engineers' manual configurations, cannot meet ever-growing requirements of both time-varying workloads and complex storage systems, leading to frequent cache overloading.
Xijun Li, Xiyao Zhou, Mingxuan Yuan, Keji Huang
 DAC3