边缘计算在现代通信网络中的应用与效果研究
Study on the Application and Effect of Edge Computing in Modern Communication Network

随着通信技术的不断进步，尤其是5G网络的商用化以及物联网设备数量的激增，传统的云计算中心已难以应对大规模、低延迟的应用需求。边缘计算作为一种新兴的分布式计算模式，通过将数据处理迁移到网络边缘节点，极大地减少了数据传输延迟，增强了用户体验。本文提出了一种优化的边缘节点部署模型，专门用于延迟敏感型和数据密集型应用场景。通过实验验证，该模型显著降低了传输延迟并提升了带宽利用效率。与现有的边缘计算部署策略相比，本研究的模型在资源利用率和响应速度方面更具实用性，为现代通信网络中边缘计算的部署提供了宝贵的参考。
With the continuous progress of communication technology, especially the commercialization of 5G network and the surge of the number of Internet of Things devices, the traditional cloud computing centers have been unable to cope with the demand of large-scale and low-latency applications. As an emerging distributed computing mode, edge computing greatly reduces data transmission delay and enhances user experience by migrating data processing to the edge nodes of the network. This paper presents an optimized model of edge node deployment specifically for delay-sensitive and data-intensive application scenarios. Through experimental verification, the proposed model significantly reduces the transmission latency and improves the bandwidth utilization efficiency. Compared with the existing edge computing deployment strategies, the model of this study is more practical in resource utilization and response speed, which provides a valuable reference for the deployment of edge computing in modern communication networks.