移动边缘计算中一种多用户计算卸载方法

Multi-user computation offloading approach for mobile edge computing

移动边缘计算中计算卸载技术将移动用户设备上的资源密集型应用程序卸载到边缘服务器,以解决移动设备在计算能力、存储容量以及能效等方面存在的不足。设计了一种移动边缘环境下能够联合优化多用户时延与移动边缘计算服务器资源分配平衡度的计算卸载方法。该方法以LTE应用为背景,首先设计了移动边缘计算系统模型;然后在此模型基础上,构造了联合优化平均卸载时延与资源分配平衡度的目标函数;最后,以最小化移动用户的卸载时延总和、同时平衡分配移动边缘计算服务器资源为目标,求解最优解,合理实施计算卸载。仿真结果表明,这种方法能够有效地减小多用户的平均卸载时延,同时平衡各移动边缘计算服务器的工作负荷。

Computation offloading technology in Mobile Edge Computing(MEC)offloads resource-intensive applications on mobile user devices to edge servers.It can solve the deficiencies of mobile devices in terms of computing power,storage capacity,and energy efficiency.Orienting to the LTE,a multi-user computation offloading approach for MEC environment is proposed,which can jointly optimize mobile users’delay and MEC servers’resource allocation balance.First,a mobile edge computing system model is designed,on the basis of which an objective function for jointly optimizing the average computation offloading delay and resource allocation balance is constructed.And then with the goal of minimizing the offloading delay of mobile users and allocating MEC server resources in a balanced manner,the optimal solution is solved,and the computation offloading is implemented reasonably.Simulation results show that the approach can effectively reduce the average offloading delay of multi-users,and balance the workload of MEC servers at the same time.