基于边缘计算的多用户动态带宽分配方法

Multi-user Dynamic Bandwidth Allocation Method Based on Edge Computing

当前多个集群框架布置在同一个数据中心增加了动态带宽的分配时间。针对这种情况,提出一种基于边缘计算的多用户动态带宽分配方法。该方法采用循环神经网络计算构建分配模型,并通过3层分配机制和边缘框架进行带宽的弹性共享应用。用户业务的优先流转级别通过共享机制设定,促进多用户的业务需求同步传输,同时实现多用户动态带宽的分配。实验结果表明,该新方法可以基于不同的用户规模进行分类,具有高效的分配效率和实用性。

Multiple cluster frameworks in the same data cente increased the allocation time of dynamic bandwidth.In view of this situation,researchers proposed a multi-user dynamic bandwidth allocation method based on edge computing.This method uses a recurrent neural network to calculate and construct an allocation model,and applies elastic bandwidth sharing through a three-layer allocation mechanism and link framework.The priority flow level of user business is set through a sharing mechanism to promote the synchronous transmission of business needs among multiple users,while achieving dynamic bandwidth allocation among multiple users.Experimental results show that the new method can be classified based on different scale of users,and has high allocative efficiency and practicability.