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Search: "[ keyword: Kubernetes ]" (4)
    Technique to Reduce Container Restart for Improving Execution Time of Container Workflow in Kubernetes Environments
    Taeshin Kang, Heonchang Yu The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 91-101, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.91
    Keywords: resource management, Kubernetes, Container Workflow, Memory Oversubscription

    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

    An Improvement of Kubernetes Auto-Scaling Based on Multivariate Time Series Analysis
    Yong Hae Kim, Young Han Kim KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 3, pp. 73-82, Mar. 2022
    https://doi.org/10.3745/KTCCS.2022.11.3.73
    Keywords: Multivariate Time Series, VAR, Kubernetes, Auto-Scaling

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