Research Article
Energy-Efficient Computation Offloading for Multimedia Workflows in Mobile Cloud Computing
@INPROCEEDINGS{10.1007/978-3-030-12971-2_7, author={Tao Huang and Yi Chen and Shengjun Xue and Haojun Ji and Yuan Xue and Lianyong Qi and Xiaolong Xu}, title={Energy-Efficient Computation Offloading for Multimedia Workflows in Mobile Cloud Computing}, proceedings={Testbeds and Research Infrastructures for the Development of Networks and Communications. 13th EAI International Conference, TridentCom 2018, Shanghai, China, December 1-3, 2018, Proceedings}, proceedings_a={TRIDENTCOM}, year={2019}, month={2}, keywords={Energy-efficient Offloading Multimedia workflow Mobile Cloudlet DE}, doi={10.1007/978-3-030-12971-2_7} }- Tao Huang
Yi Chen
Shengjun Xue
Haojun Ji
Yuan Xue
Lianyong Qi
Xiaolong Xu
Year: 2019
Energy-Efficient Computation Offloading for Multimedia Workflows in Mobile Cloud Computing
TRIDENTCOM
Springer
DOI: 10.1007/978-3-030-12971-2_7
Abstract
In recent years, mobile cloud computing (MCC) is utilized to process multimedia workflows due to the limitation of battery capacity of mobile devices, which influences the experience of multimedia applications on the mobile devices. Computation offloading based on cloudlet is introduced as a novel paradigm to relieve the high latency which offloading computation to remote cloud causes. However, it is still a challenge for mobile devices to offload computation of multimedia workflows in cloudlet-based cloud computation environment to reduce energy consumption, which meets time constraints at the same time. In view of the challenge, an energy-efficient computation offloading method of multimedia workflow with multi-objective optimization is proposed in this paper. Technically, an offloading method based on cloudlet using Differential Evolution (DE) algorithm is proposed to optimize the energy consumption of the mobile devices with time constraints. Finally, massive experimental evaluations and comparison analysis validate the efficiency of our proposed method.
