과제정보
이 논문은 정부(과학기술정보통신부, 교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2019M3E7A1113102).
참고문헌
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- S. Horovitz and Y. Arian, "Efficient cloud auto-scaling with SLA objective using Q-learning," In 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), pp.85-92, 2018.
- F. Rossi, M. Nardelli, and V. Cardellini, "Horizontal and vertical scaling of container-based applications using reinforcement learning," In 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), pp.329-338, Jul. 2019.
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- R. S. Sutton and A. G. Barto, "Reinforcement learning: An introduction," 2nd ed., Cambridge: MIT press, 2018.
- L. Toka, G. Dobreff, B. Fodor, and B. Sonkoly, "Machine learning-based scaling management for kubernetes edge clusters," IEEE Transactions on Network and Service Management, Vol.18, No.1, pp.958-972, 2021. https://doi.org/10.1109/TNSM.2021.3052837
- kOps: Kubernetes Operations [Internet], https://kops.sigs.k8s.io/
- Kopf: Kubernetes Operators Framework [Internet], https://kopf.readthedocs.io/en/stable/
- NASA-HTTP Logs, [Internet], ftp://ita.ee.lbl.gov/html/contrib/NASA-HTTP.html
- Gatling [Internet], https://gatling.io/