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Hyungjoon Kwon

dblp:307/4923 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 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.

Software engineering, system software, and programming languages
1 paper
Operating systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems › resource management › storage management › file systems
user-space file systems
0.812024
RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication · FAST 2024
Storage systems
file systems
0.212024
RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication · FAST 2024
YearPublicationVenuePosition
2024 RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication
Kyu-Jin Cho, Hyungjoon Kwon
FAST3
2022 DENOVA: Deduplication Extended NOVA File System
abstract
This paper shows mathematically and experimentally that inline deduplication is not suitable for file systems on ultra-low latency Intel Optane DC PM devices in terms of performance, and proposes DeNova, an offline deduplication specially designed for log-structured NVM file systems such as NOVA. DeNova offers high-performance and low-latency I/O processing and executes deduplication in the background without interfering with foreground I/Os. DeNova employs DRAM-free persistent deduplication metadata, favoring CPU cache line, and ensures failure consistency on any system failure. We implement DeNova in the NOVA file system. Evaluation with DeNova confirms a negligible performance drop of baseline NOVA of less than 1%, while gaining high storage space savings. Extensive experiments show DeNova is failure consistent in all failure scenario cases.
Hyungjoon Kwon, Yonghyeon Cho, Awais Khan 0002, Yeohyeon Park, Youngjae Kim 0001
IPDPS1