241cdbbe-40b7-448c-b81d-097e80cb421e beie director@blueeyesintelligence.org 10.35940/ijrte.C6390.0910321 10.1007/s00500-020-04839-2Y. Saadi, and S. El Kafhali, "Energy-efficient strategy for virtual machine consolidation in cloud environment," Soft Computing, vol. 24, 2020, pp. 14845-14859.10.1007/s11227-017-2016-8S. Y. Z. Fard, M. R. Ahmadi, and S. Adabi, "A dynamic VM consolidation technique for QoS and energy consumption in cloud environment," The Journal of Supercomputing, vol. 73, 2017, pp 4347-4368.10.1007/s10586-020-03152-9M. Tarahomi, M. Izadi, and M. Ghobaei-Arani, "An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach," Cluster Computing, vol. 24, 2020, pp. 919-934.10.1007/s11227-020-03203-3A. Tarafdar, M. Debnath, S. Khatua, and R. K. Das, "Energy and quality of service-aware virtual machine consolidation in a cloud data center," The Journal of Supercomputing, vol. 76, 2020, pp. 9095-9126.10.1007/s12652-020-02384-2P. Geetha, and C. R. Robin, "Power conserving resource allocation scheme with improved QoS to promote green cloud computing," Journal of Ambient Intelligence and Humanized Computing, vol. 12, 2020, pp. 7153-7164.10.1007/s11227-019-03141-9M. A. Gomez-Rodriguez, V. J. Sosa-Sosa, J. Carretero, and J. L. Gonzalez, "CloudBench: an integrated evaluation of VM placement algorithms in clouds," The Journal of Supercomputing, vol. 76, 2020, pp. 7047-7080.10.1109/TSUSC.2017.2702164J. Son, A. V. Dastjerdi, R. N. Calheiros, and R. Buyya, "SLA-aware and energy-efficient dynamic overbooking in SDN-based cloud data centers," IEEE Transactions on Sustainable Computing, vol. 2, 2017, pp. 76-89.10.1109/ICACCI.2017.8126139A. Kaur, A. Diwakar, and R. Vashisht, "Alternatives to VM consolidation techniques for energy aware cloud computing," 2017 International Conference on Advances in Computing, Communications and Informatics, 2017, pp. 2005-2009.10.1007/s13369-017-2580-5M. Abdullah, K. Lu, P. Wieder, and R. Yahyapour, "A heuristic-based approach for dynamic vms consolidation in cloud data centers," Arabian Journal for Science and Engineering, vol. 42, 2017, pp. 3535-3549.10.1016/j.jpdc.2017.10.009M. Ranjbari, and J. A. Torkestani, "A learning automata-based algorithm for energy and SLA efficient consolidation of virtual machines in cloud data centers," Journal of Parallel and Distributed Computing, vol. 113, 2018, pp. 55-62.10.1007/s11704-018-7172-3J. Liu, S. Wang, A. Zhou, J. Xu, and F. Yang, "SLA-driven container consolidation with usage prediction for green cloud computing," Frontiers of Computer Science, vol. 14, 2020, pp. 42-52.10.1016/j.simpat.2020.102127N. Gholipour, E. Arianyan, and R. Buyya, "A novel energy-aware resource management technique using joint VM and container consolidation approach for green computing in cloud data centers," Simulation Modelling Practice and Theory, vol. 104, 2020, pp. 102127.10.1109/ACCESS.2020.2990828A. Ibrahim, M. Noshy, H. A. Ali, and M. Badawy, "PAPSO: A Power-Aware VM Placement Technique Based on Particle Swarm Optimization," IEEE Access, vol. 8, 2020, pp. 81747-81764.10.1109/ACCESS.2019.2891567L. Li, J. Dng, D. Zuo, and J. Wu, "SLA-aware and energy-efficient VM consolidation in cloud data centers using robust linear regression prediction model," IEEE Access, vol. 7, 2019, pp. 9490-9500.10.1109/ACCESS.2019.2907615M. Gamal, R. Rizk, H. Mahdi, and B. E. Elnaghi, "Osmotic Bio-Inspired Load Balancing Algorithm in Cloud Computing," IEEE Access, vol. 7, 2019, pp. 42735-42744.10.1007/s11277-020-07204-6N. Khattar, J. Singh, and J. Sidhu, "An energy efficient and adaptive threshold VM consolidation framework for cloud environment," Wireless Personal Communications, vol. 113, 2020, pp. 349-367.