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Reseach Article

Power Efficient Hybrid VM Allocation Algorithm

by Inderjit Singh Dhanoa, Sawtantar Singh Khurmi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 17
Year of Publication: 2015
Authors: Inderjit Singh Dhanoa, Sawtantar Singh Khurmi

Inderjit Singh Dhanoa, Sawtantar Singh Khurmi . Power Efficient Hybrid VM Allocation Algorithm. International Journal of Computer Applications. 127, 17 ( October 2015), 39-43. DOI=10.5120/ijca2015906722

@article{ 10.5120/ijca2015906722,
author = { Inderjit Singh Dhanoa, Sawtantar Singh Khurmi },
title = { Power Efficient Hybrid VM Allocation Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 17 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2015906722 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:18:19.221669+05:30
%A Inderjit Singh Dhanoa
%A Sawtantar Singh Khurmi
%T Power Efficient Hybrid VM Allocation Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 17
%P 39-43
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Virtualization technology in Cloud computing has become important technology to reduce power consumption in data centers. Virtual Machine allocation to hosts is the main concept which carried out during Virtual Machine migrations in data centers. Virtual Machine allocation helps to utilize hardware resources of hosts and leads to power efficiency in Data centers. In the past few years, various mechanisms were proposed to apply algorithms to achieve power efficiency. In this paper, we have proposed a genetic algorithm to optimize various parameters i.e. power consumption, response time, SLA violation and VM migrations. Our proposed hybrid algorithm provisions various VMs to hosts in a way that to minimize power consumption, while delivering approved Quality of Service. Results demonstrate that proposed HVMA algorithm helps to minimize power consumption and to optimize various performance parameters during live migrations in various environment conditions.

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Index Terms

Computer Science
Information Sciences


Data center Virtualization VM Allocation Power Consumption Virtual Machines (VMs) HVMA