Open AccessLoad Balancing Model using Elastic Technique in Cloud Computing
Author(s) -
Sovban Nisar,
Deepika Arora
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d2448.0410421
Subject(s) - cloud computing , virtual machine , computer science , genetic algorithm , distributed computing , load balancing (electrical power) , latency (audio) , matlab , service provider , cloud service provider , service (business) , computer network , operating system , cloud computing security , machine learning , telecommunications , geometry , mathematics , economy , economics , grid
A structural design in which virtual machines areimplicated and connect to the cloud service provider is calledcloud computing. On the behalf of the users, the virtual machinesconnect to the cloud service provider. The uncertainties overloadthe virtual machines. The genetic algorithm is implemented forthe migration of virtual machine in the earlier study. The geneticalgorithm is low depicts latency within the network is high at thetime of virtual machine migration. The genetic algorithm isimplemented for virtual machine migration in this study. Theproposed algorithm is applied in MATLAB in this work. Theobtained results are compared with the results of earlieralgorithm. Various parameters like latency, bandwidthconsumption, and space utilization are used to analyze theachieved results.