铁道货运2024，Vol.42Issue(12)：71-80,10.DOI:10.16669/j.cnki.issn.1004-2024.2024.12.10
重载铁路云数据中心网络架构与优化研究
Network Architecture and Optimization of Cloud Data Center for Heavy-Haul Railway
摘要
Abstract
A communication network for a dedicated cloud data center was built for heavy-haul railway based on a data center.In response to the characteristics of the heavy-duty railway business system,this paper utilized SDN software to define the network method.It virtualized the resources of physical network devices into reusable and freely allocated virtual network resources,achieving the virtualization of network resources and resource pool management.The paper flexibly allocated and adjusted network resources according to business configuration needs.It used the Spine-Leaf framework,link redundancy,load balancing products combined with path optimization,and other network optimization technologies to achieve a high-security,high-reliability,scalable,and full-process basic network environment.The network environment supports the rapid development and iteration of new railway business applications,achieving infrastructure co-construction and sharing,data resource aggregation and sharing,and agile deployment of business systems for railway logistics business.It comprehensively improves the level of railway logistics informatization and provides a basic support network for Intelligent Railway and Smart Logistics.关键词
重载铁路/数据中心/网络优化/Spine-Leaf框架/链路冗余Key words
Heavy-Haul Railway/Data Centers/Network Optimization/Spine-Leaf Framework/Link Redundancy分类
交通工程引用本文复制引用
单伟,秦凯,李苗,蔡莉莉..重载铁路云数据中心网络架构与优化研究[J].铁道货运,2024,42(12):71-80,10.基金项目
陕西铁路物流集团有限公司科研项目(2021SMHKJ-A-J-06-01) （2021SMHKJ-A-J-06-01）
