面向边缘计算的智能化系统设计与实现

Design and Implementation of Intelligent System for Edge Computing

云计算终端设备在网络边缘侧产生的数据日益增加,影响了终端设备的数据传输的可靠性,造成网络设备能耗和传输时延增加。因此,本文提出面向边缘计算的智能化系统设计与实现。采用负载均衡等方法完成智能化系统设计,实现智能化模型的建立。添加边缘算法,在一定程度上联合优化建模,最终得到合适的智能化系统设计。基于边缘计算智能化系统设计实验表明:与普通算法和其余算法相比,负载均衡算法更能优化智能化系统设计,能够减少网络设备能耗,压缩传输时间,使得用户体验度大幅度提高。

The increasing data generated by cloud computing terminal equipment at the edge of the network affects the reliability of data transmission of terminal equipment,resulting in energy consumption and transmission delay of network equipment.Therefore,this paper proposes the design and implementation of intelligent system for edge computing.Using load balancing and other methods to complete the intelligent system design and realize the establishment of intelligent model.Add the entry edge algorithm to jointly optimize the modeling to a certain extent,and finally get the most appropriate intelligent system design.The design experiment of intelligent system based on edge computing shows that compared with ordinary algorithms and other algorithms,load balancing algorithm can better optimize the design of intelligent system,reduce the energy consumption of network equipment,compress the transmission time,and greatly improve the user experience.