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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-12-01
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Series: | Dianxin kexue |
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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 |