Energy efficient multi-resource computation offloading strategy in mobile edge computing

被引：0
|
作者：
Xu J. [1 ]
Li X. [1 ]
Ding R. [1 ]
Liu X. [2 ]
机构：
[1] School of Computer Science and Technology, Anhui University, Hefei
[2] School of Information Technology, Deakin University, Melbourne, 3125, VIC
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Computation offloading; Energy efficient; Mobile edge computing; Multi-resource; Workflow scheduling;
D O I：
10.13196/j.cims.2019.04.018
中图分类号：
学科分类号：
摘要：
In the research on energy efficiency optimization of mobile edge computing, the computation offloading strategy of edge device is emphasis. However, the existing computation offloading strategy can only consider single computing resource and do not take into account the different type of computing resources in mobile edge computing, which cannot reduce the energy consumption of edge device with response time constraint. Therefore, a energy model of multi-resources computation offloading was proposed, and the fitness computation method of task scheduling plan was designed to evaluate the energy consumption of edge device. An energy efficient multi-resource computation offloading strategy task scheduling algorithm was presented to solve the energy consumption optimization problem of edge device. Experimental results showed that the propose algorithm could always achieve stable convergence speed, the optimal fitness and low energy consumption of edge device with the constraint of response time. © 2019, Editorial Department of CIMS. All right reserved.
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收藏
页码：954 / 961
页数：7
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