Computer Science

Computer Science ›› 2020, Vol. 47 ›› Issue (6): 260-265.doi: 10.11896/jsjkx.190400074

Special Issue: Network and communication

• Computer Network • Previous Articles     Next Articles

Task Migration Strategy with Energy Optimization in Mobile Edge Computing

HU Jin-tian, WANG Gao-cai, XU Xiao-tong   

  1. School of Computer and Electronic Information,Guangxi University,Nanning 530004,China
  • Received:2019-04-11 Online:2020-06-15 Published:2020-06-10
  • About author:HU Jin-tian,born in 1992,postgra-duate.His main research interests include mobile edge computing and wireless networks.
    WANG Gao-cai,born in 1976,Ph.D,Professor, Ph.D supervisor,is a member of China Computer Federation.His main research interests include computer network and system performance evaluation and random.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61562006) and Natural Science Foundation of Guangxi, China (2016GXNSFBA380181)

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Abstract: With the advancement of communication technology,resource-constrained mobile terminal devices have been unable to meet the rapidly increasing demand for data processing by mobile users.On the one hand,mobile edge computing can be processed by migrating tasks on the mobile device to the edge computing server,which can solve the problem of insufficient computingpower of the mobile device to some extent.On the other hand,how to maintain high service performance during task migration as well as reducing the energy consumption of mobile terminals is also a topic of concern for researchers and mobile users.This paper focuses on the study of the problem of minimizing the average energy consumption of data migration based on the migration time benefit.Firstly,migration rate threshold of edge computing server detected periodically by mobile terminal is obtained by migration time revenue formula.Secondly,the optimal stopping problem of minimizing the average energy consumption of data migration with time-return constraint is constructed.It is proved that there is an optimal stopping rule and the optimal average energy consumption of data migration is obtained.Finally,the mobile terminal selects the edge computing server for task migration together with the obtained migration rate threshold and the optimal data migration average energy consumption,thereby implementing a task migration strategy with energy optimization.In the simulation experiment,the optimization strategy and other migration strategies proposed in the paper are compared on the performance parameters such as the average migration data,the average migration time,and the average data migration energy consumption.The experimental results show that compared with the other two comparison strategies,the task migration strategy with energy optimization has shorter migration time and smaller average data migration energy consumption.In addition,the performance of the effective data mobility parameter can also achieve about 10% to 40% performance improvement,and obtain better migration performance improvement effect.

Key words: Channel quality, Effective mobility, Energy consumption optimization, Migration rate, Mobile edge computing, Optimal stopping, Task migration

CLC Number: 

  • TP393
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