  In Mobile Cloud Computing (MCC), Virtual Machine (VM) migration based process
offloading is a dominant approach to enhance Smart Mobile Devices (SMDs). A
challenging aspect of VM deployment is the additional computing resources usage
in the deployment and management of VM which obliges computing resources for VM
creation and configuration. The management of VM comprises computing resources
exploitation in the monitoring of VM in entire lifecycle and physical resources
management for VM on SMDs. Therefore, VM migration based application offloading
requires additional computing resource. Consequently computing resources demand
and execution time of the application increases respectively. In this paper, we
empirically review the impact of VM deployment and management on the execution
time of application in diverse scenarios. We investigate VM deployment and
management for application processing in simulation environment by employing
CloudSim: a simulation toolkit that provides an extensible simulation framework
to model VM deployment and management for application processing in cloud
infrastructure. The significance of this work is to ensure that VM deployment
and management necessitates additional computing resources on SMD for
application offloading. We evaluate VM deployment and management in application
processing by analyzing Key Performance Parameters (KPPs) in different
scenarios; such as VM deployment, the execution time of applications, and total
execution time of the simulation. We use KPPs to assess deviations in the
results of diverse experimental scenarios. The empirical analysis concludes
that VM deployment and management oblige additional resources on computing host
which make it a heavyweight approach for process offloading on smart mobile
device.
