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云雾网络中低延迟QoS路由模型的研究

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文章提出一种适用于云雾计算环境的低延迟QoS路由模型,以应对云雾网络中的数据传输延迟问题,并保证服务的可靠性与效率.在深入分析云雾网络特性基础上,构建了包含关键QoS参数的网络切片评估模型,并据此设计出能够动态调整路由策略的算法,有效适应网络状态变化.仿真实验显示,处理1000MB数据时,该模型较传统云计算网络减少了 11.95秒的延迟时间,仅需18.47秒,显著提升了网络吞吐量与操作速度,同时降低了丢包率,对提升网络性能和用户体验至关重要.
Research on Low Delay QoS Routing Model in Cloud and Mist Networks
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.

cloud and mist networkQoS routing modeldelay optimizationnetwork performance

许年芳、褚诗伟

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安徽职业技术学院计算机与信息技术学院

安徽大学电子信息工程学院 安徽合肥 231200

云雾网络 QoS路由模型 延迟优化 网络性能

安徽省教育厅自然科学重点研究项目

2022AH052854

2024

绥化学院学报
绥化学院

绥化学院学报

影响因子:0.195
ISSN:2095-0438
年,卷(期):2024.44(6)
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