EDBT 2026 Demo / reviewers in the wild / expert
Hyungjoon Kwon
dblp:307/4923
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems › resource management › storage management › file systems
user-space file systems |
0.8 | 1 | 2024 | RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication · FAST 2024 |
Storage systems
file systems |
0.2 | 1 | 2024 | RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication · FAST 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication
Kyu-Jin Cho, Hyungjoon Kwon |
FAST | 3 |
| 2022 | DENOVA: Deduplication Extended NOVA File SystemabstractThis 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 |
IPDPS | 1 |