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Moonsub Kim

dblp:244/9265 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-3984-5882ORCID · reported

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.

Databases, data mining, and information retrieval
1 paper
Transaction processing and concurrency control · 50% Data integration and cleaning · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

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

TopicWeightPapersLastEvidence papers
Transaction processing and concurrency control
backup and recovery
0.412020
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems · IEEE Trans. Knowl. Data Eng. 2020
Data integration and cleaning
semi-structured data integration
0.412020
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems · IEEE Trans. Knowl. Data Eng. 2020
Storage systems
flash and SSD
0.412020
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems · IEEE Trans. Knowl. Data Eng. 2020
Storage systems › flash and SSD › flash memory management
flash translation layer
0.112020
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems · IEEE Trans. Knowl. Data Eng. 2020

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

flash translation layer · 0.9RAID · 0.9DRAM cache with supercapacitors · 0.9
YearPublicationVenuePosition
2020 Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems
abstract
As flash-based solid-state drive (SSD) becomes more prevalent because of the rapid fall in price and the significant increase in capacity, customers expect better data services than traditional disk-based systems. However, the order of magnitude performance provided and new characteristics of flash require a rethinking of data services. For example, backup and recovery is an important service in a database system since it protects data against unexpected hardware and software failures. To provide backup and recovery, backup/recovery tools or backup/recovery methods by operating systems can be used. However, the tools perform time-consuming jobs, and the methods may negatively affect run-time performance during normal operation even though high-performance SSDs are used. To handle these issues, we propose an SSD-assisted backup/recovery scheme for database systems. Our scheme is to utilize the characteristics (e.g., out-of-place update) of flash-based SSD for backup/recovery operations. To this end, we exploit the resources (e.g., flash translation layer and DRAM cache with supercapacitors) inside SSD, and we call our SSD with new backup/ recovery functionality BR-SSD. We design and implement the functionality in the Samsung enterprise-class SSD (i.e., SM843Tn) for more realistic systems. Furthermore, we exploit and integrate BR-SSDs into database systems (i.e., MySQL) in replication and redundant array of independent disks (RAID) environments, as well as a database system in a single BR-SSD. The experimental result demonstrates that our scheme provides fast backup and recovery but does not negatively affect the run-time performance during normal operation.
Yongseok Son, Moonsub Kim, Sunggon Kim, Heon Young Yeom, Nam Sung Kim, Hyuck Han
IEEE Trans. Knowl. Data Eng.2
2019 Automating Context-Based Access Pattern Hint Injection for System Performance and Swap Storage Durability
Seongjae Park, Yunjae Lee, Moonsub Kim, Heon Young Yeom
HotStorage3