A Comparative Analytics for Dynamic Load Balancing Mechanisms Intended to Improve Task Scheduling in Cloud Computing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59100-6_26
Reference20 articles.
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3. Malik, B.H., Amir, M., Mazhar, B., Ali, S., Jalil, R., Khalid, J.: Comparison of task scheduling algorithms in cloud environment. Int. J. Adv. Comput. Sci. Appl. 9(5) (2018)
4. Kumar, M., Sharma, S.: Dynamic load balancing algorithm for balancing the workload among virtual machine in cloud computing. Procedia Comput. Sci. 115, 322–329 (2017).https://doi.org/10.1016/j.procs.2017.09.141
5. Geetha, P., Robin, C.R.R.: A comparative-study of load-cloud balancing algorithms in cloud environments. In: 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), pp. 806–810 (2017). https://doi.org/10.1109/ICECDS.2017.8389549
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