Open Access
ARTICLE
Application Centric Virtual Machine Placements to Minimize Bandwidth Utilization in Datacenters
Muhammad Abdullah1,*, Saad Ahmad Khan1, Mamdouh Alenez2, Khaled Almustafa3, Waheed Iqbal1
1 Punjab University College of Information and Technology, University of the Punjab, Lahore, Pakistan
2 College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
3 College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia
* Corresponding Author: Muhammad Abdullah,
Intelligent Automation & Soft Computing 2020, 26(1), 13-25. https://doi.org/10.31209/2018.100000047
Abstract
An efficient placement of virtual machines (VMs) in a cloud datacenter is
important to maximize the utilization of infrastructure. Most of the existing work
maximises the number of VMs to place on a minimum number of physical
machines (PMs) to reduce energy consumption. Recently, big data applications
become popular which are mostly hosted on cloud datacenters. Big data
applications are deployed on multiple VMs and considered data and
communication intensive applications. These applications can consume most of
the datacenter bandwidth if VMs do not place close to each other. In this paper,
we investigate the use of different VM placement methods to decrease the usage
of bandwidth in different sizes of datacenters. We implemented and evaluated
five different VM placement algorithms. Our comprehensive set of experiments
show a significant decrease in bandwidth ranging from 65% to 78% can be
achieved using the extended implementations of the knapsack and first fit VM
placement methods.
Keywords
Cite This Article
M. Abdullah, S. A. Khan, M. Alenez, K. Almustafa and W. Iqbal, "Application centric virtual machine placements to minimize bandwidth utilization in datacenters,"
Intelligent Automation & Soft Computing, vol. 26, no.1, pp. 13–25, 2020. https://doi.org/10.31209/2018.100000047