A Lightweight Secure Cyber Foraging Infrastructure for Resource-Constrained Devices
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
Future Generation Computer Systems
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
The Case for VM-Based Cloudlets in Mobile Computing
IEEE Pervasive Computing
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
Rethink the virtual machine template
Proceedings of the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
CloneCloud: elastic execution between mobile device and cloud
Proceedings of the sixth conference on Computer systems
Mobile Networks and Applications
An Online Migration Environment for Executing Mobile Applications on the Cloud
IMIS '11 Proceedings of the 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
Dynamic Migration of Computation Through Virtualization of the Mobile Platform
Mobile Networks and Applications
M-PeopleNet: mobile human and intellectual capital management based on the cloud
Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
Investigation on runtime partitioning of elastic mobile applications for mobile cloud computing
The Journal of Supercomputing
The Journal of Supercomputing
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In mobile cloud computing, application offloading is implemented as a software level solution for augmenting computing potentials of smart mobile devices. VM is one of the prominent approaches for offloading computational load to cloud server nodes. A challenging aspect of such frameworks is the additional computing resources utilization in the deployment and management of VM on Smartphone. The deployment of Virtual Machine (VM) requires computing resources for VM creation and configuration. The management of VM includes computing resources utilization in the monitoring of VM in entire lifecycle and physical resources management for VM on Smartphone. The objective of this work is to ensure that VM deployment and management requires additional computing resources on mobile device for application offloading. This paper analyzes the impact of VM deployment and management on the execution time of application in different experiments. We investigate VM deployment and management for application processing in simulation environment by using CloudSim, which is a simulation toolkit that provides an extensible simulation framework to model the simulation of VM deployment and management for application processing in cloud-computing infrastructure. VM deployment and management in application processing is evaluated by analyzing VM deployment, the execution time of applications and total execution time of the simulation. The analysis concludes that VM deployment and management require additional resources on the computing host. Therefore, VM deployment is a heavyweight approach for process offloading on smart mobile devices.