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Improvement of SLA Parameters in Virtual Machine Migration by using Genetic Algorithm

Anu Thind1 , Mandeep Devgan2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-8 , Page no. 12-22, Aug-2016

Online published on Aug 31, 2016

Copyright © Anu Thind, Mandeep Devgan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anu Thind, Mandeep Devgan, “Improvement of SLA Parameters in Virtual Machine Migration by using Genetic Algorithm,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.12-22, 2016.

MLA Style Citation: Anu Thind, Mandeep Devgan "Improvement of SLA Parameters in Virtual Machine Migration by using Genetic Algorithm." International Journal of Computer Sciences and Engineering 4.8 (2016): 12-22.

APA Style Citation: Anu Thind, Mandeep Devgan, (2016). Improvement of SLA Parameters in Virtual Machine Migration by using Genetic Algorithm. International Journal of Computer Sciences and Engineering, 4(8), 12-22.

BibTex Style Citation:
@article{Thind_2016,
author = {Anu Thind, Mandeep Devgan},
title = {Improvement of SLA Parameters in Virtual Machine Migration by using Genetic Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2016},
volume = {4},
Issue = {8},
month = {8},
year = {2016},
issn = {2347-2693},
pages = {12-22},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1025},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1025
TI - Improvement of SLA Parameters in Virtual Machine Migration by using Genetic Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Anu Thind, Mandeep Devgan
PY - 2016
DA - 2016/08/31
PB - IJCSE, Indore, INDIA
SP - 12-22
IS - 8
VL - 4
SN - 2347-2693
ER -

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Abstract

Virtualization plays a main role in the cloud computing technology, usually in the cloud computing, users share the data there in the clouds like application etc., but with virtualization users shares the communications. A general technique to enhance the energy proficiency of a datacentre is VM placement by coordinating the quantity of dynamic servers to the present needs of the VMs and setting the remaining servers in low-control standby modes using SLA violations .In cloud computing environments, cloud service users consume cloud resources as a service and pay for service use. Before a cloud provider provisions a service to a consumer, the cloud provider and consumer (or broker) need to establish a service level agreement. So this work explored the utilization of VM migration with GA algorithm in MATLAB environment. We found the performance parameters like Number of VMs, Response time, Throughput and Execution Time.

Key-Words / Index Term

Virtual Machine Security, Genetic Algorithm, Deployment Models, Service Level Agreement

References

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