A Bio-inspired Energy Efficient Dynamic Task Scheduling (BEDTS) scheme and classification for virtualization CDC

T. Saravanan1, K. Ramesh1
1Department of Computer Applications, Anna university Regional campus, Tirunelveli, India

Tài liệu tham khảo

Desai, 2015, "Efficient virtual machine migration in cloud computing.", 2015 Fifth Int. Conf. Commun. Syst. Netw. Technol. IEEE Hanini, 2019, "Dynamic VM allocation and traffic control to manage QoS and energy consumption in cloud computing environment.", Int. J. Comput. Appl. Technol., 60, 307, 10.1504/IJCAT.2019.101168 Shen, 2011, "Cloudscale: elastic resource scaling for multi-tenant cloud systems.", Proc. 2nd ACM Symp. . Cloud Comput., 10.1145/2038916.2038921 Li, 2017, "Fast and energy-aware resource provisioning and task scheduling for cloud systems.", 2017 18th Int. Symp. . Qual. Electron. Des. (ISQED). IEEE Agarwal, Dr, and Saloni Jain. "Efficient optimal algorithm of task scheduling in cloud computing environment." arXiv preprint arXiv:1404.2076, 2014. Beloglazov, 2012, "Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing.", Future Gener. Comput. Syst., 28, 755, 10.1016/j.future.2011.04.017 Di Pietro, 2018, "Virtualization technologies and cloud security: advantages, issues, and perspectives.", 166 Lee, 2012, "Energy efficient utilization of resources in cloud computing systems.", J. Supercomput., 60, 268, 10.1007/s11227-010-0421-3 Zhang, 2014, "Mvmotion: a metadata based virtual machine migration in cloud.", Clust. Comput., 17, 441, 10.1007/s10586-013-0245-z Li, 2015, "Virtual machine placement strategy based on discrete firefly algorithm in cloud environments.", 2015 12th Int. Comput. Conf. Wavel. Act. Media Technol. Inf. Process. (ICCWAMTIP). IEEE Zhixue, 2017, "Advances on virtualization technology of cloud computing.", J. Comput. Appl., 37, 915 Zhang, 2014, "Dynamic heterogeneity-aware resource provisioning in the cloud.", IEEE Trans. Cloud Comput., 2, 14, 10.1109/TCC.2014.2306427 Elhosseini, 2019, "On the performance improvement of elephant herding optimization algorithm.", Knowl. -Based Syst., 166, 58, 10.1016/j.knosys.2018.12.012 Sharma, 2020, artificial neural network based approach for energy efficient task scheduling in cloud data centers.", Sustain. Comput.: Inform. Syst., 26 Juarez, 2018, "Dynamic energy-aware scheduling for parallel task-based application in cloud computing.", Future Gener. Comput. Syst., 78, 257, 10.1016/j.future.2016.06.029 Hakli, 2020, "BinEHO: a new binary variant based on elephant herding optimization algorithm.", Neural Comput. Appl., 32, 16971, 10.1007/s00521-020-04917-4 Strumberger, 2017, "Hybridized elephant herding optimization algorithm for constrained optimization." Ebadifard, 2017, "Dynamic task scheduling in cloud computing based on Naïve Bayesian classifier.", Dep. Comput. Eng. Univ. Kashan Rjoub, 2021, "Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems.", Concurr. Comput.: Pract. Exp., 33, 10.1002/cpe.5919 Marahatta, 2019, "Energy-aware fault-tolerant dynamic task scheduling scheme for virtualized cloud data centers.", Mob. Netw. Appl., 24, 1063, 10.1007/s11036-018-1062-7 Marahatta, 2019, "Classification-based and energy-efficient dynamic task scheduling scheme for virtualized cloud data center.", IEEE Trans. Cloud Comput., 9, 1376, 10.1109/TCC.2019.2918226 Gai-Ge Wang, Suash Deb et al. “Elephant Herding Optimization”, 3rd International Symposium on Computational and Business Intelligence, 2015. Mishra, 2018, "Energy-efficient VM-placement in cloud data center.", Sustain. Comput.: Inform. Syst., 20, 48