AI·SW Graduate School

AI·SW대학원

Prof. Yongsoo Joo 주용수 교수
Memory & Storage Lab.
Yongsoo Joo
Contact
Phone 02-910-5429
E-mail ysjoo@kookmin.ac.kr
Google Scholar
Google Scholar Profile
Education 학력
Ph.D. Seoul National University (2007)
M.S. Seoul National University (2002)
B.S. Seoul National University (2000)
Career 경력
2024-Present Professor, School of Software, Kookmin University
2018-2024 Associate Professor, School of Computer Science, Kookmin University
2015-2018 Assistant Professor, School of Computer Science, Kookmin University
2010-2015 Research Professor, Ewha Womans University
2009-2010 Postdoctoral Researcher, Pennsylvania State University
2007-2008 Postdoctoral Researcher, Seoul National University
2024-현재 교수, 국민대학교 소프트웨어학부
2018-2024 부교수, 국민대학교 컴퓨터공학부
2015-2018 조교수, 국민대학교 컴퓨터공학부
2010-2015 연구교수, 이화여자대학교 컴퓨터공학과
2009-2010 박사후연구원, Pennsylvania State University
2007-2008 박사후연구원, 서울대학교

Research Overview 연구 개요

Our research focuses on building high-performance, energy-efficient, and secure storage systems. We develop I/O completion optimization techniques that dynamically adapt to workload characteristics, achieving both prompt and CPU-efficient storage access on modern SSDs and NVMe devices. Our work spans from firmware-level security (ransomware-proof SSDs) to OS-level optimization (virtualized I/O, application launch acceleration), with results published at top-tier venues including USENIX FAST and ACM HotStorage.

본 연구실은 고성능, 에너지 효율적, 안전한 스토리지 시스템 구축을 목표로 연구하고 있습니다. 워크로드 특성에 동적으로 적응하는 I/O 완료 최적화 기술을 개발하여, 최신 SSD 및 NVMe 장치에서 신속하고 CPU 효율적인 스토리지 접근을 달성합니다. 펌웨어 수준의 보안(랜섬웨어 방지 SSD)부터 OS 수준의 최적화(가상화 I/O, 앱 실행 가속)까지 폭넓은 연구를 수행하며, USENIX FAST, ACM HotStorage 등 최상위 학회에 논문을 게재하고 있습니다.

Research Areas 연구 분야

  • I/O Completion Optimization
  • Storage Security
  • Virtualized I/O Performance
  • SSD/NVMe Performance Optimization
  • Energy-Efficient Memory Systems
  • I/O 완료 최적화
  • 스토리지 보안 (랜섬웨어 방어)
  • 가상화 I/O 성능 최적화
  • SSD/NVMe 성능 최적화
  • 에너지 효율적 메모리 시스템

Major Achievements 주요 연구 성과

  • Dynamic I/O completion method (DPAS) achieving 9% YCSB improvement on 3D XPoint SSD
  • Polled I/O path expansion for Linux virtualization
  • Memory-efficient ransomware detection at SSD firmware level
  • 28% reduction of application launch time on SSDs (FAST)
  • Hybrid PCM/Flash storage architecture for performance-energy-lifetime co-optimization

Honors & Awards 수상

  • US Patent 11,768,532 — I/O Latency Tracking for Storage Devices, 2023
  • KR Patent 10-2919645 — Hybrid Interrupt Processing, 2026
  • US Patent App. 2026/0030187 — I/O Completion Processing, 2026

Recent Publications 주요 논문

  • D. Seo, J. Jung, Y. Yoon, P.-X. Chen, Y. Joo, S.-S. Lim, and N. Dutt, "DPAS: A Prompt, Accurate and Safe I/O Completion Method for SSDs," USENIX FAST, 2026
  • D. Seo, Y. Joo, and N. Dutt, "Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux," ACM HotStorage, pp. 31-37, 2024
  • Y. Joo, Y. Yoon, and J. H. Choi, "A Memory-Efficient Overwrite Detection Method for Ransomware-Proof SSDs," IEICE Trans. on Info. and Systems, Vol. 106, Issue 8, 2023
  • Y. Joo, D. Seo, D. Shin, and S.-S. Lim, "Enlarging I/O Size for Faster Loading of Mobile Applications," IEEE Embedded Systems Letters, Vol. 12, Issue 2, 2020
  • Y. Joo, S. Park, and H. Bahn, "Exploiting I/O Reordering and I/O Interleaving to Improve Application Launch Performance," ACM Trans. on Storage, Vol. 13, Issue 1, 2017
  • Y. Joo, J. Ryu, S. Park, and K. G. Shin, "FAST: Quick Application Launch on Solid-State Drives," USENIX FAST, pp. 259-272, 2011
  • G. Sun, Y. Joo, Y. Chen, Y. Xie, Y. Chen, and H. Li, "A Hybrid Solid-State Storage Architecture for the Performance, Energy Consumption, and Lifetime Improvement," HPCA, pp. 1-12, 2010
  • Y. Joo, J. Ryu, S. Park, H. Shin, and K. G. Shin, "Rapid Prototyping and Evaluation of Intelligence Functions of Active Storage Devices," IEEE Trans. on Computers, Vol. 63, Issue 9, 2014