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Performance Analysis of Anomaly Detection Methods for Application System on Kubernetes with Auto-scaling and Self-healing

Yoichi Matsuo, Daisuke Ikegami. Performance Analysis of Anomaly Detection Methods for Application System on Kubernetes with Auto-scaling and Self-healing. In Prosper Chemouil, Mehmet Ulema, Stuart Clayman, Müge Sayit, Cihat Çetinkaya, Stefano Secci, editors, 17th International Conference on Network and Service Management, CNSM 2021, Izmir, Turkey, October 25-29, 2021. pages 464-472, IEEE, 2021. [doi]

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Yoichi Matsuo

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Daisuke Ikegami

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