Optimizing strategy of computing off loading energy consumption based on Lagrangian method

With the development of mobile network technology and the popularization and application of intelligent terminals,mobile edge computing has become an important application of cloud computing.Computing offloading strategy has become one of the key issues in mobile edge computing services.Targeting th...

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Main Authors: Guangxue YUE, Youkang ZHU, Jiansheng LIU, Yasheng DAI, Zhenxu YOU, Hao XU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2018-12-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018295/
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author Guangxue YUE
Youkang ZHU
Jiansheng LIU
Yasheng DAI
Zhenxu YOU
Hao XU
author_facet Guangxue YUE
Youkang ZHU
Jiansheng LIU
Yasheng DAI
Zhenxu YOU
Hao XU
author_sort Guangxue YUE
collection DOAJ
description With the development of mobile network technology and the popularization and application of intelligent terminals,mobile edge computing has become an important application of cloud computing.Computing offloading strategy has become one of the key issues in mobile edge computing services.Targeting the total computing time of the mobile terminal and minimizing the energy consumption of the mobile terminal,the computation offloading resource allocation problem of the mobile terminal was modeled as a convex optimization problem,solved by the Lagrange multiplier method,and a threshold-based offloading was proposed.Simulation experiments show that the proposed offloading optimization strategy model can effectively balance the relationship between local computing and offloading,and provide guarantee for executing computation-intensive applications in mobile edge computing.
format Article
id doaj-art-2fd98f20f7334c40a14576a163ffb31d
institution Kabale University
issn 1000-0801
language zho
publishDate 2018-12-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-2fd98f20f7334c40a14576a163ffb31d2025-01-15T03:03:34ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-12-0134102359592304Optimizing strategy of computing off loading energy consumption based on Lagrangian methodGuangxue YUEYoukang ZHUJiansheng LIUYasheng DAIZhenxu YOUHao XUWith the development of mobile network technology and the popularization and application of intelligent terminals,mobile edge computing has become an important application of cloud computing.Computing offloading strategy has become one of the key issues in mobile edge computing services.Targeting the total computing time of the mobile terminal and minimizing the energy consumption of the mobile terminal,the computation offloading resource allocation problem of the mobile terminal was modeled as a convex optimization problem,solved by the Lagrange multiplier method,and a threshold-based offloading was proposed.Simulation experiments show that the proposed offloading optimization strategy model can effectively balance the relationship between local computing and offloading,and provide guarantee for executing computation-intensive applications in mobile edge computing.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018295/edge computingcomputation offloadingenergy consumptioncomputing timeLagrangian
spellingShingle Guangxue YUE
Youkang ZHU
Jiansheng LIU
Yasheng DAI
Zhenxu YOU
Hao XU
Optimizing strategy of computing off loading energy consumption based on Lagrangian method
Dianxin kexue
edge computing
computation offloading
energy consumption
computing time
Lagrangian
title Optimizing strategy of computing off loading energy consumption based on Lagrangian method
title_full Optimizing strategy of computing off loading energy consumption based on Lagrangian method
title_fullStr Optimizing strategy of computing off loading energy consumption based on Lagrangian method
title_full_unstemmed Optimizing strategy of computing off loading energy consumption based on Lagrangian method
title_short Optimizing strategy of computing off loading energy consumption based on Lagrangian method
title_sort optimizing strategy of computing off loading energy consumption based on lagrangian method
topic edge computing
computation offloading
energy consumption
computing time
Lagrangian
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018295/
work_keys_str_mv AT guangxueyue optimizingstrategyofcomputingoffloadingenergyconsumptionbasedonlagrangianmethod
AT youkangzhu optimizingstrategyofcomputingoffloadingenergyconsumptionbasedonlagrangianmethod
AT jianshengliu optimizingstrategyofcomputingoffloadingenergyconsumptionbasedonlagrangianmethod
AT yashengdai optimizingstrategyofcomputingoffloadingenergyconsumptionbasedonlagrangianmethod
AT zhenxuyou optimizingstrategyofcomputingoffloadingenergyconsumptionbasedonlagrangianmethod
AT haoxu optimizingstrategyofcomputingoffloadingenergyconsumptionbasedonlagrangianmethod