多用户移动边缘计算迁移的能量管理研究

doi:10.11959/j.issn.2096-3750.2019.00091

Abstract

Abstract:

In mobile edge computing system,the quality of computing experience can be improved greatly by offloading computing tasks from mobile devices to mobile edge computing servers.Consider incorporating renewable energy into a multi-user mobile edge system.Moreover,a battery as an energy harvesting device was added to the model to harvest energy and storage.The task allocation strategy in mobile edge computing system was formulated through the resource management algorithm based on reinforcement learning,which achieved the cost minimization of mobile devices (including delay cost and computing cost).The simulation results show that the proposed algorithm significantly minimizes the cost of mobile devices compared with other algorithms.

Key words: energy harvesting, renewable energy, mobile edge computing, cost optimization, reinforcement learning

CLC Number:

TN929.5

Luyao WANG,Wenqian ZHANG,Guanglin ZHANG. Research on energy management of multi-user mobile edge computing offloading[J]. Chinese Journal on Internet of Things, 2019, 3(1): 73-81.

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References 24

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