Mission
What I cannot create, I do not understand. (Richard Feynman)
Data is everything. Build efficient database systems to process big data.
Realize vertical optimization through the seamless integration of database engine and storage.
We solve the real problems in database systems and tackle the AI system challenges using DBMS-inspired solutions.
Projects
2025.09 - 2028.08 FDP based Zero Write Amplification Transaction Support, NRF (개척연구, PI)
2026.01 - 2028.12 Development of a customized climate information service system (기상청, co-PI)
2026.07 - 2027.01 Mitacs Global Research Project (visiting reseracher: Muhamad at SFU (advisor: Prof. Tianzheng Wang) , co-PI)
2023.06 - 2026.02 NV-CXL based High Performance Transaction support, NRF (기본연구, PI)
2023.09 - 2024.08 Analysis and Optimization of Android Media DB I/O Patterns for Supporting Large Capacity Storage, Samsung (전략산학과제, co-PI)
2022.05 - 2024.05 Exabyte Flash Storage를 위한 소프트웨어 개발, Samsung (RA)
Research
Our research primarily revolves around the design of new intelligent database systems including (1) NVM (Non-Volatile Memory)-aware Database systems, (2) Flash-based Database systems, and (3) In-Storage computing. Through this research, we aim to explore the potential benefits and limitations in the context of the modern computing environment and to develop new approaches for designing and implementing intelligent database systems that can meet the demands of data-driven applications using exascale data Most of our research artifacts are released as open source.
SSL-S3 [CLOUD25], SaS [VLDB 21], ES4D [ICCD22]
Open Source Projects
Most of our work is open-source. We aim to optimize database engines by leveraging the unique characteristics of storage systems
SaS C/C++ Library for SSD as SQL engine (VLDB 2021)
NV-SQL Optimize MySQL/InnoDB using leveraging NVDIMM (VLDB 2023)
FlashAlloc Novel interface for flash storage to enlighten the storage to stream write to objects (VLDB 2023)
NV-PPL Boosting Transaction Performance using Per-Page Logging on NVDIMM (SIGMOD 2025)
SSL-S3 SQL Statement Logging on S3 cloud stroage (CLOUD 2025)