학력
2010. 09 ~ 2015. 05. University of Wisconsin-Madison, Department of Computer Science, Bachelor of Science
2016. 03 ~ 2021. 08. 서울대학교, 컴퓨터공학과, 공학박사
주요 경력
- 2021.09~2022.02 박사 후 연구원, 서울대학교 지능형 컴퓨팅 사업단
- 2018.01~ Collaborater, Lawrence Berkely National Laborartory
연구 분야
고성능 컴퓨팅, 빅데이터, 분산 시스템, 클라우드, 운영체제, 스토리지 및 SSD
담당 교과목
Introduction to Computer Engineering, Object Oriented Programming Language, Database, 빅데이터처리, 분산시스템(대학원)
주요논문 및 저서
Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications. ([SCIE, IF: 10.6, JCR 2.2%] IEEE Internet of Things Journal, 2023)
Design and Implementation of I/O Performance Prediction Scheme on HPC Systems through Large-scale Log Analysis. ([SCIE, IF: 10.835, JCR 6.8%] Journal of Big Data, 2023)
IFLustre: Towards Interference-free and Efficient Storage Allocation in Distributed File System. ([BK21 Conference, IF: 2] MASCOTS '22)
Towards HPC I/O Performance Prediction through Large-scale Log Analysis. ([BK21 Conference, IF: 2] HPDC '20)
저널 논문
< 서울과기대 이전 >
Kim, Sunggon, and Yongseok Son. "Optimizing Key-Value Stores for Flash-Based SSDs via Key Reshaping." IEEE Access 9 (2021): 115135-115144.
Kim, Sunggon, Jaehyun Han, Hyeonsang Eom, and Yongseok Son. "Improving I/O performance in distributed file systems for flash-based SSDs by access pattern reshaping." Future Generation Computer Systems 115 (2021): 365-373.
Myung, Kihyeon, Sunggon Kim, Heon Young Yeom, and Jiwoong Park. "Efficient and Scalable External Sort Framework for NVMe SSD." IEEE Transactions on Computers 70, no. 12 (2020): 2211-2217.
Kim, Sunggon, Dongwhan Kim, Yongseok Son, and Hyeonsang Eom. "Towards predicting GPGPU performance for concurrent workloads in Multi-GPGPU environment." Cluster Computing 23, no. 3 (2020): 2261-2272.
Kim, Sunggon, Hyeonsang Eom, and Yongseok Son. "Improving spatial locality in virtual machine for flash storage." IEEE Access 7 (2018): 1668-1676.
Son, Yongseok, Moonsub Kim, Sunggon Kim, Heon Young Yeom, Nam Sung Kim, and Hyuck Han. "Design and implementation of SSD-assisted backup and recovery for database systems." IEEE Transactions on Knowledge and Data Engineering 32, no. 2 (2018): 260-274.
< 서울과기대 임용 이후>
◾ A hybrid model based on convolution neural network and long short-term memory for qualitative assessment of permeable and porous concrete, CASE STUDIES IN CONSTRUCTION MATERIALS, vol.19, 2023김성곤
◾ Analyzing I/O Characteristics of Time-Series Data Using High Performance Storage Devices, IEEE ACCESS, 2023김성곤
◾ Design and Implementation of Enabling SQL-Query Processing for Ethereum-based Blockchain Systems., Electronics, 2023김성곤
◾ Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications, IEEE Internet of Things Journal, 2023김성곤
◾ Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis, JOURNAL OF BIG DATA, vol.10 No.1, 2023김성곤
◾ Improving I/O Performance via Address Remapping in NVMe Interface, IEEE ACCESS, vol.10 pp.119722~119733, 2022김성곤
◾ Design and implementation of dynamic I/O control scheme for large scale distributed file systems, CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022김성곤
학술대회
< 서울과기대 이전 >
Bang, Jiwoo, Chungyong Kim, Sunggon Kim, Qichen Chen, Cheongjun Lee, Eun-Kyu Byun, Jaehwan Lee, and Hyeonsang Eom. "Finer-lru: A scalable page management scheme for hpc manycore architectures." In 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 567-576. IEEE, 2021.
Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom. "Towards HPC I/O Performance Prediction through Large-scale Log Analysis" 29th ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) Stockholm, Sweden, 2020
Bang, Jiwoo, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, and Hyeonsang Eom. "HPC workload characterization using feature selection and clustering." In Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, pp. 33-40. 2020.
Kim, Sunggon, Dongwhan Kim, Hyeonsang Eom, and Yongseok Son. "Towards Predicting GPGPU Performance for Concurrent Workloads." In 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS* W), pp. 164-169. IEEE, 2019.
Wang, Teng, Suren Byna, Glenn K. Lockwood, Shane Snyder, Philip Carns, Sunggon Kim, and Nicholas J. Wright. "A zoom-in analysis of i/o logs to detect root causes of i/o performance bottlenecks." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 102-111. IEEE, 2019.
Kim, Sunggon, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, and Hyeonsang Eom. "DCA-IO: A dynamic I/O control scheme for parallel and distributed file systems." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 351-360. IEEE, 2019.
Son, Yongseok, Sunggon Kim, Heon Y. Yeom, and Hyuck Han. "{High-Performance} Transaction Processing in Journaling File Systems." In 16th USENIX Conference on File and Storage Technologies (FAST 18), pp. 227-240. 2018.
Son, Yongseok, Jaeyoon Choi, Jekyeom Jeon, Cheolgi Min, Sunggon Kim, Heon Young Yeom, and Hyuck Han. "SSD-assisted backup and recovery for database systems." In 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 285-296. IEEE, 2017.
< 서울과기대 임용 이후>
◾ Sangjin Lee, Lan Anh Nguyen, Hyeongi Yeo, Sunggon kim, Sungrae Cho, Yongseok Son*, A Survey on File Defragmentation Techniques on Modern Storage System., Proceedings of 14th International Conference on Information and Communication Technology Convergence, Jeju, 2023김성곤
◾ Dereje Regassa, Dongkyu Sung, Sunggon Kim, Heon Young Yeom, Yongseok Son, EHS: An Efficient Hashing Scheme for Persistent Memory, In Proceedings of 38th ACM/SIGAPP Symposium on Applied Computing (SAC'23), Tallinn, Estonia, 2023김성곤
◾ Seokjoo Cho, Sangjin Lee, Kiet Tuan Pham, Nguyen Lan Anh, Sunggon Kim, Yongseok Son, A Survey on Minimizing Lock Contention in Shared Resources in Linux Kernel, In Proceedings of International Conference on ICT Convergence, 제주, 2022김성곤
◾ Changjong Kim, Yongseok Son, Sunggon Kim, Towards Access Pattern Prediction for Big Data Applications, In Proceedings of International Conference on ICT Convergence, Jeju, 2022김성곤
◾ 5, A Survey on Lock-free Binary Search Tree., In Proceedings of International Conference on ICT Convergence, Jeju, 2022김성곤
◾ Kiet Tuan Pham, Sangjin Lee, Seokjoo Cho, Sunggon Kim, Yongseok Son, A Survey on Data Management using Integrated Rule-Oriented Data System., In Proceedings of International Conference on ICT Convergence, Jeju, 2022김성곤
◾ Sunggon Kim, DongKyu Sung, Yongseok Son, IFLustre: Towards Interference-free and Efficient Storage Allocation in Distributed File System., 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, Nice, France, 2022김성곤
연구프로젝트
◾ [포닥 연구지원사업] 수정된 딥러닝 기법을 이용한 사이버 침입 예측 및 분류, 서울과학기술대학교 산학협력단, 2022.11.~2023.10.김성곤
◾ 고성능 컴퓨팅 시스템 성능 향상을 위한 접근 패턴 기반 데이터 관리 프레임워크 개발, 한국연구재단, 2022.09.~2024.02.김성곤
◾ 고성능병렬처리시스템 구조개선 방안 연구, 대검찰청, 2022.07.~2022.11.김성곤
기타(학회활동 등)
2024
- Program Committee: IEEE CLUSTER (BK21: IF : 1)
2023
- Reviewer: Multimedia Tools and Applications
- Reviewer: Journal of Supercomputing
- Special Issue Editor: Electronics
- Program Committee: HiPC 2023 (BK21: IF : 1)
2021
- Reviewer: Cluster Computing
- Reviewer: Elsevier- Journal of Systems Architecture
- Invited talk: KCC 2021, 우수학회논문, Towards HPC I/O Performance Prediction through Large-scale Log Analysis
2020
- Reviewer: IEEE Systems Journal
- Invited talk: KCC 2020, 우수학회논문, DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File System
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