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Reseach Article

Improvement in Genetic Algorithm for Virtual Machine Migration in Cloud Computing

Published on July 2018 by Arshdeep Kaur, Simarjit Kaur, Yogesh Kumar
International Conference on Advances in Emerging Technology
Foundation of Computer Science USA
ICAET2017 - Number 2
July 2018
Authors: Arshdeep Kaur, Simarjit Kaur, Yogesh Kumar
bc845d96-86fb-4552-a015-b57808dc331e

Arshdeep Kaur, Simarjit Kaur, Yogesh Kumar . Improvement in Genetic Algorithm for Virtual Machine Migration in Cloud Computing. International Conference on Advances in Emerging Technology. ICAET2017, 2 (July 2018), 29-33.

@article{
author = { Arshdeep Kaur, Simarjit Kaur, Yogesh Kumar },
title = { Improvement in Genetic Algorithm for Virtual Machine Migration in Cloud Computing },
journal = { International Conference on Advances in Emerging Technology },
issue_date = { July 2018 },
volume = { ICAET2017 },
number = { 2 },
month = { July },
year = { 2018 },
issn = 0975-8887,
pages = { 29-33 },
numpages = 5,
url = { /proceedings/icaet2017/number2/29649-7063/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Emerging Technology
%A Arshdeep Kaur
%A Simarjit Kaur
%A Yogesh Kumar
%T Improvement in Genetic Algorithm for Virtual Machine Migration in Cloud Computing
%J International Conference on Advances in Emerging Technology
%@ 0975-8887
%V ICAET2017
%N 2
%P 29-33
%D 2018
%I International Journal of Computer Applications
Abstract

The cloud computing is the architecture in which hosts, virtual machines, brokers, virtual servers are involved in the communications. The cloud architecture is the de-centralized network for task migration, task allocation, security. This work is based on the task migration when virtual machine get overloaded at the time of cloudlet execution. The brokers are responsible to assign tasks to the most appropriate virtual machine for the execution. When any of the virtual machine get overloaded, the task is migrated from one virtual machine to another which can be decided by the improved genetic algorithm. The proposed and existing algorithms are implement in cloudsim and it analyze the execution time, space utilization. Execution time, space utilization is reduce by the proposed improvement.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloudlets Brokers Virtual Machine Genetic Algorithm