Prof. Sung-Soo Lim 임성수 교수
Sung-Soo Lim
Contact
Phone 02-910-4886
E-mail sslim@kookmin.ac.kr
Google Scholar
Google Scholar Profile
Education 학력
Ph.D. Seoul National University, Computer Engineering
Career 경력
Present Professor, School of Software, Kookmin University
현재 국민대학교 소프트웨어학부 교수

Research Overview 연구 개요

Research focuses on embedded systems, low-power computing, and virtualization technologies. Key areas include energy-efficient CPU-GPU DVFS governors for mobile systems, IoT edge-cloud orchestration, and real-time embedded hypervisors. Collaborative work with UC Irvine on self-driving vehicle benchmarks and smart health monitoring systems.

임베디드 시스템, 저전력 컴퓨팅, 가상화 기술을 중심으로 연구합니다. 모바일 시스템을 위한 에너지 효율적 CPU-GPU DVFS 거버너, IoT 엣지-클라우드 오케스트레이션, 실시간 임베디드 하이퍼바이저가 주요 연구 분야이며, UC Irvine과 자율주행 벤치마크 및 스마트 헬스 모니터링 공동 연구를 수행하고 있습니다.

Research Areas 연구 분야

  • Embedded Systems
  • Low-Power Computing
  • Virtualization for Embedded Systems
  • IoT Edge-Cloud Computing
  • 임베디드 시스템
  • 저전력 컴퓨팅
  • 임베디드 가상화
  • IoT 엣지-클라우드 컴퓨팅

Major Achievements 주요 연구 성과

  • ML-Gov: Machine learning enhanced CPU-GPU DVFS governor for mobile gaming.
  • K-Hypervisor: ARM hypervisor for real-time embedded systems.
  • Chauffeur: Benchmark suite for self-driving vehicles on embedded systems.

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.
  • S. Shahhosseini et al., "Online learning for orchestration of inference in multi-user end-edge-cloud networks," ACM Trans. on Embedded Computing Systems, Vol. 21, No. 6, 2022.
  • B. Maity et al., "Chauffeur: Benchmark suite for design and end-to-end analysis of self-driving vehicles on embedded systems," ACM Trans. on Embedded Computing Systems, Vol. 20, No. 5s, 2021.
  • J.G. Park, N. Dutt, and S.S. Lim, "An interpretable machine learning model enhanced integrated CPU-GPU DVFS governor," ACM Trans. on Embedded Computing Systems, Vol. 20, No. 6, 2021.
  • J.G. Park, N. Dutt, and S.S. Lim, "ML-Gov: A machine learning enhanced integrated CPU-GPU DVFS governor for mobile gaming," IEEE/ACM ESWEEK, 2017.
  • J.G. Park, C.Y. Hsieh, N. Dutt, and S.S. Lim, "Synergistic CPU-GPU frequency capping for energy-efficient mobile games," ACM Trans. on Embedded Computing Systems, Vol. 17, No. 2, 2017.
  • W. Ko, J. Yoo, I. Kang, J. Jun, and S.S. Lim, "Lightweight, predictable hypervisor for ARM-Based embedded systems," IEEE RTCSA, 2016.