Genetic Algorithm-Based Optimization of Offloading and Resource Allocation in Mobile-Edge Computing

Information

Zhi Li¹  Qi Zhu¹ 

[1] Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;

关键词: mobile edge computing;    offloading;    genetic algorithm;    resource allocation;   

DOI  :  10.3390/info11020083

来源: DOAJ

【 摘 要 】

Mobile edge computing (MEC) can use a wireless access network to serve smart devices nearby so as to improve the service experience of users. In this paper, a joint optimization method based on the Genetic Algorithm (GA) for task offloading proportion, channel bandwidth, and mobile edge servers’ (MES) computing resources is proposed in the scenario where some computing tasks can be partly offloaded to the MES. Under the limitation of wireless transmission resources and MESs’ processing resources, GA was used to solve the optimization problem of minimizing user task completion time, and the optimal offloading task strategy and resource allocation scheme were obtained. The simulation results show that the proposed algorithm can effectively reduce the task completion time and ensure the fairness of users’ completion times.

【 授权许可】

Unknown