Jinwoo Park

jinwoo520528@kaist.ac.kr | Google Scholar | Linkedin | CV

Jinwoo Park

I am a computer science PhD candidate at INA lab, KAIST advised by Dongsu Han. Before then, I received my MS degree in Electrical Engineering at KAIST, advised by Yung Yi. Also, I have received BS degree in Electrical Engineering at KAIST.

My interests are in crafting computer systems that incorporate AI/ML approaches. I concentrate on integrating AI/ML techniques to the real-world systems for more efficient and better performance management policies. My works aims at 1) designing efficient system built on AI/ML approaches; 2) improving AI/ML approaches by exploiting system-specific assumptions. All my work involves several months of implementation followed by thorough testing in real-world data.

Recently, I am striving to develop an adaptive load control framework for microservices using AI/ML approaches. In the past, I worked on various topics including resource optimization in SLO-oriented microservices, optimizing image compression for accelerating neural restoration, and designing wireless MAC with a multi-agent RL approach.

Selected Publications

  1. SIGCOMM
    TopFull: An Adaptive Top-Down Overload Control for SLO-Oriented Microservices
    Jinwoo Park, Jaehyeong Park, Youngmok Jung, Hwijoon Lim, Hyunho Yeo, and Dongsu Han
    ACM Special Interest Group on Data Communication (SIGCOMM), 2024
    CVPR
    AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration
    Juncheol Ye, Hyunho Yeo, Jinwoo Park, and Dongsu Han
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
    CoNEXT
    GRAF: A graph neural network based proactive resource allocation framework for SLO-oriented microservices
    Jinwoo Park, Byungkwon Choi, Chunghan Lee, and Dongsu Han
    Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, 2021
    MobiHoc
    Neuro-DCF: Design of wireless MAC via multi-agent reinforcement learning approach
    Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, and Yung Yi
    Proceedings of the Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 2021

    Publications

    1. SIGCOMM
      TopFull: An Adaptive Top-Down Overload Control for SLO-Oriented Microservices
      Jinwoo Park, Jaehyeong Park, Youngmok Jung, Hwijoon Lim, Hyunho Yeo, and Dongsu Han
      ACM Special Interest Group on Data Communication (SIGCOMM), 2024
      ToN
      Graph Neural Network-Based SLO-Aware Proactive Resource Autoscaling Framework for Microservices
      Jinwoo Park, Byungkwon Choi, Chunghan Lee, and Dongsu Han
      IEEE/ACM Transactions on Networking, 2024
      HotStorage
      SAND: A Storage Abstraction for Video-based Deep Learning
      Uitaek Hong, Hwijoon Lim, Hyunho Yeo, Jinwoo, Park, and Dongsu Han
      15th ACM Workshop on Hot Topics in Storage and File Systems, 2023
      CVPR
      AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration
      Juncheol Ye, Hyunho Yeo Jinwoo, Park, and Dongsu Han
      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
      CoNEXT
      GRAF: A graph neural network based proactive resource allocation framework for SLO-oriented microservices
      Jinwoo Park, Byungkwon Choi, Chunghan Lee, and Dongsu Han
      Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies, 2021
      MobiHoc
      Neuro-DCF: Design of wireless MAC via multi-agent reinforcement learning approach
      Sangwoo Moon, Sumyeong Ahn, Kyunghwan Son, Jinwoo Park, and Yung Yi
      Proceedings of the Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 2021
      APNet
      pHPA: A proactive autoscaling framework for microservice chain
      Byungkwon Choi, Jinwoo Park, Chunghan Lee, and Dongsu Han
      5th Asia-Pacific Workshop on Networking, 2021