A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling-Reference-Cited by-同舟云学术

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A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 14th International Conference on Cloud Computing (CLOUD)
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Author:

Zhao Jie,Rodriguez Maria A.,Buyya Rajkumar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9581278/9582150/09582195.pdf?arnumber=9582195

Cited by 20 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

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2. Wireless Greenhouse Monitoring using ESP32 and Sensor Array for Sustainable Crop Production;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

3. Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers;IEEE Transactions on Parallel and Distributed Systems;2024-04

4. Evaluation of distributed data processing frameworks in hybrid clouds;Journal of Network and Computer Applications;2024-04

5. Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review;Future Generation Computer Systems;2024-02

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