A Multi-objective Virtual Machine Placement Optimization in Sustainable Cloud Environment
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60935-0_38
Reference14 articles.
1. Saxena, D., Gupta, I., Kumar, J., Singh, A.K., Wen, X.: A secure and multiobjective virtual machine placement framework for cloud data centers. IEEE Syst. J. 16(2), 3163–3174 (2021)
2. Sharma, N.K., Reddy, G.R.M.: Multi-objective energy-efficient virtual machine allocation at the cloud data center. IEEE Trans. Serv. Comput. 12(1), 158–171 (2016)
3. Han, J., Zang, W., Chen, S., Yu, M.: Reducing security risks of clouds through virtual machine placement. In: Data and Applications Security and Privacy XXXI: 31st Annual IFIP WG 11.3 Conference, DBSec 2017, Philadelphia, PA, USA, July 19-21, 2017, Proceedings 31, pp. 275–292. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61176-1_15
4. Singh, A.K., Kumar, J.: Secure and energy-aware load balancing framework for cloud data center networks. Electron. Lett. 55(9), 540–541 (2019)
5. Tseng, F.H., Wang, X., Chou, L.D., Chao, H.C., Leung, V.C.: Dynamic resource prediction and allocation for cloud data center using the multiobjective genetic algorithm. IEEE Syst. J. 12(2), 1688–1699 (2017)
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