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]
@inproceedings{MatsuoI21-0, title = {Performance Analysis of Anomaly Detection Methods for Application System on Kubernetes with Auto-scaling and Self-healing}, author = {Yoichi Matsuo and Daisuke Ikegami}, year = {2021}, doi = {10.23919/CNSM52442.2021.9615544}, url = {https://doi.org/10.23919/CNSM52442.2021.9615544}, researchr = {https://researchr.org/publication/MatsuoI21-0}, cites = {0}, citedby = {0}, pages = {464-472}, booktitle = {17th International Conference on Network and Service Management, CNSM 2021, Izmir, Turkey, October 25-29, 2021}, editor = {Prosper Chemouil and Mehmet Ulema and Stuart Clayman and Müge Sayit and Cihat Çetinkaya and Stefano Secci}, publisher = {IEEE}, isbn = {978-3-903176-36-2}, }