| 基于拉格朗日的计算迁移能耗优化策略 |
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| 引用本文： | 乐光学,朱友康,刘建生,戴亚盛,游真旭,徐浩. 基于拉格朗日的计算迁移能耗优化策略[J]. 电信科学, 2018, 34(12): 10-23. DOI: 10.11959/j.issn.1000-0801.2018295 |
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| 作者姓名： | 乐光学 朱友康 刘建生 戴亚盛 游真旭 徐浩 |
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| 作者单位： | 1. 嘉兴学院数理与信息工程学院，浙江 嘉兴 314001;2. 江西理工大学理学院，江西 赣州 341000 |
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| 基金项目： | 国家自然科学基金资助项目(61462036);国家自然科学基金资助项目(61572014);国家自然科学基金资助项目(61702224);浙江省自然科学基金资助项目(LY16F020028);浙江省自然科学基金资助项目(LQ15F010008);浙江省自然科学基金资助项目(LY15F020040) |
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| 摘 要： | 随着移动网络技术的发展和智能终端的普及应用，移动边缘计算已成为云计算的一个重要应用。计算迁移策略已成为移动边缘计算服务的关键问题之一。以移动终端总的计算时间和移动终端能耗最小化为目标，将移动终端的计算迁移资源划分问题建模为一个凸优化问题，运用拉格朗日乘子法进行求解，提出基于阈值的迁移优化策略模型。仿真实验表明，本迁移优化策略模型能有效平衡本地计算和迁移计算之间的关系，为移动边缘计算中执行计算密集型应用提供保障。
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| 关 键 词： | 边缘计算 计算迁移 能耗 计算时间 拉格朗日 凸优化 |
Optimizing strategy of computing off loading energy consumption based on Lagrangian method |
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| Guangxue YUE,Youkang ZHU,Jiansheng LIU,Yasheng DAI,Zhenxu YOU,Hao XU. Optimizing strategy of computing off loading energy consumption based on Lagrangian method[J]. Telecommunications Science, 2018, 34(12): 10-23. DOI: 10.11959/j.issn.1000-0801.2018295 |
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| Authors: | Guangxue YUE Youkang ZHU Jiansheng LIU Yasheng DAI Zhenxu YOU Hao XU |
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| Affiliation: | 1. College of Mathematical Information and Engineering,Jiaxing University,Jiaxing 314001,China;2. College of Science,Jiangxi University of Science and Technology,Ganzhou 341000,China |
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| Abstract: | 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. |
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| Keywords: | edge computing computation offloading energy consumption computing time Lagrangian |
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