Joint Offloading and Resource Allocation Optimization for Mobile Edge Computing

Jing Zhang, Weiwei Xia, Yueyue Zhang, Qian Zou, Bonan Huang, Feng Yan, Lianfeng Shen
2017 GLOBECOM 2017 - 2017 IEEE Global Communications Conference  
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
more » ... 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.
doi:10.1109/glocom.2017.8254634 dblp:conf/globecom/ZhangXZZHYS17 fatcat:2b6b2g2lrzfodprlgshgdft2lu