CMODLB: an efficient load balancing approach in cloud computing environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-020-03601-7.pdf
Reference51 articles.
1. Sadiku NOM, Musa M, S, D Momoh, O, (2014) Cloud computing: Opportunities and challenges. IEEE Potentials 3(1):34–36
2. Diaz M, Martin C, Rubio B (2016) State-of-the-art challenges, and open issues in an integration of internet of things and cloud computing. J Netw Comput Appl 67:99–117. https://doi.org/10.1016/j.jnca.2016.01.010
3. Milani AS, Navimipour NJ (2016) Load balancing mechanisms and techniques in the cloud environments: systematic literature review and future trends. J Netw Comput Appl 71:86–98. https://doi.org/10.1016/j.jnca.2016.06.003
4. Zhi-H Zhan, Xiao-F Liu, Yue-Jiao Gong, Zhang J (2015) Cloud computing resource scheduling and a survey of its evolutionary approaches. ACM Comput Surv 47(4):1–33. https://doi.org/10.1145/2788397
5. Hua H, Guangquan X, Shanchen P, Zenghua Z (2016) AMTS: adaptive multi-objective task scheduling strategy in cloud computing. China Commun 13(4):162–171. https://doi.org/10.1109/CC.2016.7464133
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