@Article{2018.100000047,
AUTHOR = {Muhammad Abdullah, Saad Ahmad Khan, Mamdouh Alenez, Khaled Almustafa, Waheed Iqbal},
TITLE = {Application Centric Virtual Machine Placements to Minimize Bandwidth  Utilization in Datacenters},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {1},
PAGES = {13--25},
URL = {http://www.techscience.com/iasc/v26n1/39841},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000047}
}