A Genetic Algorithm-Based Virtual Machine Allocation Policy for Load Balancing Using Actual Asymmetric Workload Traces
Author:
Affiliation:
1. Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India
2. College of Computing and Informatics, Saudi Electronic University, Riyadh 93499, Saudi Arabia
Abstract
Publisher
MDPI AG
Subject
Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)
Link
https://www.mdpi.com/2073-8994/15/5/1025/pdf
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3. RALBA: A computation-aware load balancing scheduler for cloud computing;Hussain;Clust. Comput.,2018
4. Duan, K., Fong, S., Siu, S.W., Song, W., and Guan, S.S.U. (2018). Adaptive incremental genetic algorithm for task scheduling in cloud environments. Symmetry, 10.
5. Yiqiu, F., Xia, X., and Junwei, G. (2017, January 15–17). Cloud computing task scheduling algorithm based on improved genetic algorithm. Proceedings of the 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chengdu, China.
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