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Search: "[ author: Heonchang Yu ]" (4)
    Dynamic Resource Adjustment Operator Based on Autoscaling for Improving Distributed Training Job Performance on Kubernetes
    Jinwon Jeong, Heonchang Yu KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 205-216, Jul. 2022
    https://doi.org/10.3745/KTCCS.2022.11.7.205
    Keywords: Kubeflow, Kubernetes, Distributed Deep Learning Training, Resource Adjustment Operator

    Transfer Learning Technique for Accelerating Learning of Reinforcement Learning-Based Horizontal Pod Autoscaling Policy
    Yonghyeon Jang, Heonchang Yu, SungSuk Kim KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 4, pp. 105-112, Apr. 2022
    https://doi.org/10.3745/KTCCS.2022.11.4.105  
    Keywords: Kubernetes, Reinforcement Learning, Autoscaling

    A Monitoring Scheme Based on Artificial Intelligence in Mobile Edge Cloud Computing Environments
    JongBeom Lim, HeeSeok Choi, HeonChang Yu KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 2, pp. 27-32, Feb. 2018
    10.3745/KTCCS.2018.7.2.27
    Keywords: Mobile Edge Cloud, Monitoring, Artificial Intelligence, Fault Tolerance

    Performance Optimization Strategies for Fully Utilizing Apache Spark
    Rohyoung Myung, Heonchang Yu, Sukyong Choi KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 1, pp. 9-18, Jan. 2018
    10.3745/KTCCS.2018.7.1.9
    Keywords: Apache Spark, Performance Optimization, System Tuning

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