A power and thermal-aware virtual machine management framework based on machine learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-020-03228-6.pdf
Reference38 articles.
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3. Abdessamia, F., Zhang, W.-Z., Tian, Y.-C.: Energy-efficiency virtual machine placement based on binary gravitational search algorithm. Cluster Comput. 23(3), 1577–1588 (2020)
4. Sharma, Y., Si, W., Sun, D., et al.: Failure-aware energy-efficient VM consolidation in cloud computing systems. Future Gener. Comput. Syst. 94, 620–633 (2019)
5. He, K., Li, Z., Deng, D., et al.: Energy-efficient framework for virtual machine consolidation in cloud data centers. China Commun. 14(10), 192–201 (2017)
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