Propose a low latency QodS routing model suitabdle for cloud and fog computing environments to address data transmision latency issues in cloud and fog networks and ensure service reliacbility and efficiency.Result:.Based on in-depth analysis of the characteristics of cloud and fog networks,a network slicing evaluation model containing key QoS parameters was constructed,and an algorithm that can dynamically adjust routing strategies was designed based on this,effectively adapting to changes in network state.Conclusion:Simulation experiments show that when processing 1000MB of data,this moel reduces,the delay time by 11.95 seconds compared to traditional cloudcomputing networks,only requiring 18.47 seconds,significantly improving network throughput and operation speed,while reducing packet loss rate.This is crucial for improving network performance and user experience.
关键词
云雾网络/QoS路由模型/延迟优化/网络性能
Key words
cloud and mist network/QoS routing model/delay optimization/network performance
维普
万方数据