Abstract
A structural design in which virtual machines are implicated and connect to the cloud service provider is called cloud computing. On the behalf of the users, the virtual machines connect to the cloud service provider. The uncertainties overload the virtual machines. The genetic algorithm is implemented for the migration of virtual machine in the earlier study. The genetic algorithm is low depicts latency within the network is high at the time of virtual machine migration. The genetic algorithm is implemented for virtual machine migration in this study. The proposed algorithm is applied in MATLAB in this work. The obtained results are compared with the results of earlier algorithm. Various parameters like latency, bandwidth consumption, and space utilization are used to analyze the achieved results.
Cite
CITATION STYLE
Nisar, S., & Arora, D. (2021). Load Balancing Model using Elastic Technique in Cloud Computing. International Journal of Engineering and Advanced Technology, 10(4), 185–188. https://doi.org/10.35940/ijeat.d2448.0410421
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