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Jee-Eun Jang

dblp:116/9590 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1

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
Storage systems · 54% Memory systems · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
file systems
0.212013
On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory · IEEE Trans. Knowl. Data Eng. 2013
Memory systems
non-volatile memory
0.212013
On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory · IEEE Trans. Knowl. Data Eng. 2013
Memory systems › non-volatile memory
phase change memory
0.212013
On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory · IEEE Trans. Knowl. Data Eng. 2013
Storage systems › file systems › versioning
versioning file system
0.212013
On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory · IEEE Trans. Knowl. Data Eng. 2013
Storage systems › file systems
snapshot
0.012013
On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory · IEEE Trans. Knowl. Data Eng. 2013
YearPublicationVenuePosition
2013 On-Demand Snapshot: An Efficient Versioning File System for Phase-Change Memory
abstract
Versioning file systems are widely used in modern computer systems as they provide system recovery and old data access functions by retaining previous file system snapshots. However, existing versioning file systems do not perform well with the emerging PCM (phase-change memory) storage, because they are optimized for hard disks. Specifically, a large amount of additional writes incurred by maintaining snapshot degrades the performance of PCM seriously as write operations are the performance bottleneck of PCM. This paper presents a novel versioning file system, designed for PCM, that reduces the writing overhead of a snapshot significantly. Unlike existing versioning file systems that incur cascade writes up to the file system root, our scheme breaks the recursive update chain at the immediate parent level. The proposed file system is implemented on Linux 2.6 as a prototype. Measurement studies with various I/O benchmarks show that the proposed file system improves the I/O throughput by 144 percent on average, compared to ZFS, a representative versioning file system.
Jee-Eun Jang, Taeseok Kim, Hyokyung Bahn
IEEE Trans. Knowl. Data Eng.2
2012 Shortcut-JFS: A write efficient journaling file system for phase change memory
abstract
Journaling file systems are widely used in modern computer systems as it provides high reliability with reasonable performance. However, existing journaling file systems are not efficient for emerging PCM (Phase Change Memory) storage. Specifically, a large amount of write operations performed by journaling incur serious performance degradation of PCM storage as it has long write latency. In this paper, we present a new journaling file system for PCM, called Shortcut-JFS, that reduces write amount of journaling by more than a half exploiting the byte-accessibility of PCM. Specifically, Shortcut-JFS performs two novel schemes, 1) differential logging that performs journaling only for modified bytes and 2) in-place checkpointing that removes unnecessary block copy overhead. We implemented Shortcut-JFS on Linux 2.6, and measured the performance of Shortcut-JFS and legacy journaling schemes used in ext 3. The results show that the performance improvement of Shortcut-JFS against ext 3 is 40% on average.
Seunghoon Yoo, Jee-Eun Jang, Hyokyung Bahn
MSST3