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

journal contribution
posted on 2019-01-01, 00:00 authored by J Xu, X Li, R Ding, Xiao LiuXiao Liu
© 2019, Editorial Department of CIMS. All right reserved. 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.

History

Journal

Jisuanji Jicheng Zhizao Xitong/Computer integrated manufacturing systems, CIMS

Volume

25

Issue

4

Pagination

954 - 961

Publisher

Beijing Advanced Manufacturing Technology Consultation Center

Location

Beijing, China

ISSN

1006-5911

Language

chi

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2019, Editorial Department of CIMS

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