Title: A framework for computational offloading to extend the energy of mobile devices in mobile cloud computing
Authors: P. Thanapal; M.A. Saleem Durai
Addresses: School of Information Technology and Engineering, VIT University, Vellore-632014, Tamilnadu, India ' School of Computer Science and Engineering, VIT University, Vellore-632014, Tamilnadu, India
Abstract: In this paper, we devise a novel offloading policy for energy efficient mobile cloud computing. Limitations, such as poor processing ability and limited battery life, make it difficult for mobile devices to process complex computational tasks. The mobile devices in traditional local processing find it difficult to execute high-bandwidth-consuming videos, and solve this problem by offloading complex executions of the application onto cloud computing to minimise the processing requirements and energy consumption of the mobile device, thereby overcoming the limitations of poor processing ability and limited battery life of said mobile device. The energy efficient framework focuses on mobile cloud computing (MCC), which employs computational offloading for computationally intensive mobile applications on the mobile devices. An input device, namely, a virtual network computing (VNC) client, is installed on the local mobile device and connected to the VNC server, which is installed in the cloud. Energy consumption of the selected application is reduced up to 67.19% by computational offloading compared to traditional methods. The results were observed to be encouraging.
Keywords: cloud computing; energy efficiency; offloading; green computing; mobile cloud computing; MCC; mobile device; computational offloading; virtual machine; virtual network computing; VNC; Amazon elastic compute cloud.
International Journal of Embedded Systems, 2017 Vol.9 No.5, pp.444 - 455
Received: 02 Sep 2015
Accepted: 19 Feb 2016
Published online: 24 Sep 2017 *