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Enhancing Energy-Efficient and QoS Dynamic Virtual Machine Consolidation Method in Cloud Environment

  • Published:2018 Issue: Volume:6 Page:31224-31235
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Liu Yaqiu,Sun Xinyue,Wei WeiORCID,Jing WeipengORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Harbin Science and Technology Bureau Science and Technology Innovation Talents

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 46 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. Deep Learning Modified Reinforcement Learning with Virtual Machine Consolidation for Energy-Efficient Resource Allocation in Cloud Computing;International Journal of Cooperative Information Systems;2024-03-15

2. A Prediction-Based Multi-Objective VM Consolidation Approach for Cloud Data Centers;Computers, Materials & Continua;2024

3. QoS Based Virtual Machine Consolidation for Energy Efficient and Economic Utilization of Cloud Resources;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

4. A Local Regression-Based SLA-Aware Energy-Efficient Virtual Machine Consolidation Algorithm in Data Centers;2023 9th International Conference on Big Data Computing and Communications (BigCom);2023-08-04

5. Cloud computing virtual machine consolidation based on stock trading forecast techniques;Future Generation Computer Systems;2023-08
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