Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications-Reference-Cited by-同舟云学术

Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications

Published:2023-04-15 Issue: Volume: Page:
ISSN:
Container-title:Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
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Author:

Russo Russo Gabriele¹^ORCID

Affiliation:

1. University of Rome Tor Vergata, Rome, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578245.3585427

Reference10 articles.

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3. Marios Fragkoulis , Paris Carbone , Vasiliki Kalavri , and Asterios Katsifodimos . 2020. A Survey on the Evolution of Stream Processing Systems. CoRR , Vol. abs/ 2008 .00842 ( 2020 ). arxiv: 2008.00842 https://arxiv.org/abs/2008.00842 Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, and Asterios Katsifodimos. 2020. A Survey on the Evolution of Stream Processing Systems. CoRR, Vol. abs/2008.00842 (2020). arxiv: 2008.00842 https://arxiv.org/abs/2008.00842

4. Peter I. Frazier . 2018. A Tutorial on Bayesian Optimization . Vol. abs/ 1807 .02811. arxiv: 1807 .02811 http://arxiv.org/abs/1807.02811 Peter I. Frazier. 2018. A Tutorial on Bayesian Optimization. Vol. abs/1807.02811. arxiv: 1807.02811 http://arxiv.org/abs/1807.02811

5. Applying Machine Learning in Self-adaptive Systems