基于移动边缘计算的资源分配策略

为进一步探究移动互联网的资源分配问题，文中基于无线互联网通信工况恶劣的特殊情形构建了仿真模型，并结合实际情况，以支持移动边缘计算的服务器为基础，引入基于深度域不变性残差计算的长短期记忆网络（DR-LSTM），从互联网设备任务卸载的角度着手设计了资源分配策略和主要算法流程。通过仿真实验结果可知，基于移动边缘计算的资源分配策略在性能上存在一定的优势，具有潜在的应用价值。

Resource Allocation Strategy Based on Mobile Edge Computing

In order to further explore the quota problem of mobile Internet, this paper constructs a simulation model based on the special situation of poor wireless Internet communication conditions, and combines the actual situation. Based on the server supporting mobile edge computing, a long short-term memory network (DR-LSTM) based on depth domain invariant residual computing is introduced. From the perspective of task offloading of Internet devices, the quota strategy and the main algorithm flow are designed. Through the simulation results, it can be seen that the quota strategy based on mobile edge computing has certain advantages in performance and has potential application value.