Research on Low latency QoS Routing Optimization Strategies Based on Cloud and Mist Networks
The rapid development of mobile communication technology has given rise to many new industries and businesses opportunities,leading to a significant increase in network telephone traffic.However,due to lim-ited network resources and bandwidth,ensuring the quality of call service(QoS)remains a challenge.Tradi-tional network architecture design cannot effectively meet the diverse QoS requirements of different service pro-jects due to coupling issues.To address this challenge,this article delves into QoS routing optimization strategies in cloud and fog networks as well as low latency scenarios.Through experimental simulation,it finds that the low latency model outperforms cloud computing networks when processing 1000 megabytes(MB)of data.Using a low latency model takes 18.47 seconds,using a cloud computing network takes 30.42 seconds,and the process-ing time of the low latency model is reduced by 11.95 seconds.The use of low latency models can improve net-work throughput and operation speed,while minimizing packet loss rate between packets.This model plays a crucial role in improving network performance and user experience.
service qualitycloud computing networklow latencysingle fog node
NETL
NSTL
万方数据
