Energy-Efficient VM Management in OpenStack-Based Private Cloud

Author:

Prameela P. K.,Gadagi Priyanka,Gudi Revathi,Patil Somashekar,Narayan D. G.

Publisher

Springer Singapore

Reference15 articles.

1. A. Beloglazov, R. Buyya, OpenStack neat: a framework for dynamic and energy-efficient consolidation of virtual machines in OpenStack clouds.Concurr. Comput. Pract. Exp. 27(5), 1310–1333 (2015)

2. F. Farahnakian, et al., Energy-aware VM consolidation in cloud data centers using utilization prediction model.IEEE Trans. Cloud Comput. (2016)

3. M. Al-Tarazi, J. Morris Chang, Network-aware energy saving multi-objective optimization in virtualized data centers.Clust. Comput. 22(2), 635–647 (2019)

4. J.V. Wang, et al.,Bio-inspired heuristics for vm consolidation in cloud data centers. IEEE Syst. J. (2019)

5. N.V. Janagoudar, D.G. Narayan, M.M. Mulla, Multi-objective scheduling using logistic regression for openstack-based cloud, in Third International Conference on Computing and Network Communications (CoCoNet’ 2019)

Cited by 2 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. Optimal Resource Allocation in SDN/NFV-Enabled Networks via Deep Reinforcement Learning;2022 IEEE Ninth International Conference on Communications and Networking (ComNet);2022-11-01

2. Energy-Efficient VM Scheduling in the Cloud Environment using Reinforcement Learning;2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER);2021-11-19

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