A Reinforcement Learning Based System for Minimizing Cloud Storage Service Cost-Reference-Cited by-同舟云学术

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A Reinforcement Learning Based System for Minimizing Cloud Storage Service Cost

Published:2020-08-17 Issue: Volume: Page:
ISSN:
Container-title:49th International Conference on Parallel Processing - ICPP
language:
Short-container-title:

Author:

Wang Haoyu¹,Shen Haiying¹,Liu Qi¹,Zheng Kevin¹,Xu Jie²

Affiliation:

1. University of Virginia, USA

2. George Mason University, USA

Funder

Office of Advanced Cyberinfrastructure

National Science Foundation

Division of Computing and Communication Foundations

Microsoft Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404397.3404466

Reference45 articles.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of laser annealing parameters based on bayesian reinforcement learning;Journal of Intelligent Manufacturing;2024-04-15

2. Deep reinforcement learning based resource allocation in edge-cloud gaming;Multimedia Tools and Applications;2024-01-29

3. Cost Optimization for Cloud Storage from User Perspectives: Recent Advances, Taxonomy, and Survey;ACM Computing Surveys;2023-07-13

4. Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud;Proceedings of the 16th ACM International Conference on Systems and Storage;2023-06-05

5. RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning;IEEE Transactions on Parallel and Distributed Systems;2023-02-01

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