Reinforcement learning-driven hybrid precopy/postcopy VM migration for energy-efficient data centers
This study proposes the use of a hybrid precopy/postcopy virtual machine (VM) migration framework to aid an autonomous agent when making migration decisions to continuously optimize the balance among migration time, downtime, and energy consumption. The data center state and the resource load, inclu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en en en |
| Published: |
IEEE
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/123767/7/123767_%20Reinforcement%20learning-driven.pdf http://irep.iium.edu.my/123767/8/123767_%20Reinforcement%20learning-driven_Scopus.pdf http://irep.iium.edu.my/123767/9/123767_%20Reinforcement%20learning-driven_WoS.pdf http://irep.iium.edu.my/123767/ https://ieeexplore.ieee.org/document/11175406 |
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Internet
http://irep.iium.edu.my/123767/7/123767_%20Reinforcement%20learning-driven.pdfhttp://irep.iium.edu.my/123767/8/123767_%20Reinforcement%20learning-driven_Scopus.pdf
http://irep.iium.edu.my/123767/9/123767_%20Reinforcement%20learning-driven_WoS.pdf
http://irep.iium.edu.my/123767/
https://ieeexplore.ieee.org/document/11175406
