Load Balancing Model using Elastic Technique in Cloud Computing
Sovban Nisar1, Deepika Arora2

1Sovban Nisar*, M.Tech. Department of Computer Science and Engineering, Geeta Engineering College, Naultha, Panipat, India
2Deepika Arora, Asst. Prof. Department of Computer Science and Engineering, Naultha, Panipat, India

Manuscript received on April 10, 2021. | Revised Manuscript received on April 16, 2021. | Manuscript published on April 30, 2021. | PP: 185-188 | Volume-10 Issue-4, April 2021. | Retrieval Number: 100.1/ijeat.D24480410421 | DOI: 10.35940/ijeat.D2448.0410421
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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. 
Keywords: MATLAB, virtual machine migration.