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重载铁路云数据中心网络架构与优化研究

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建设一个基于数据中台的重载铁路专有云数据中心的通信网络,针对重载铁路业务系统特点,采用SDN软件定义网络方式,将物理网络设备的资源虚拟化成可复用、可自由分配的虚拟网络资源,实现网络资源的虚拟化和资源池化管理.根据业务配置需要灵活分配和调整网络资源,采用Spine-Leaf框架、链路冗余、负载均衡产品结合路径优化等网络优化技术,实现高安全、高可靠、可扩展、全流程基础网络环境.支撑铁路新业务应用的快速开发、更新、迭代,从而实现铁路物流业务的基础设施共建共用、数据资源汇聚共享、业务系统敏捷部署,达到全面提高铁路物流信息化水平的目的,为智能铁路和智慧物流提供基础支撑网络.
Network Architecture and Optimization of Cloud Data Center for Heavy-Haul Railway
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.

Heavy-Haul RailwayData CentersNetwork OptimizationSpine-Leaf FrameworkLink Redundancy

单伟、秦凯、李苗、蔡莉莉

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陕西靖神铁路有限责任公司 生产技术部,陕西 榆林 719000

北京全路通信信号研究设计院集团有限公司 运输指挥与信息技术研究院,北京 100070

重载铁路 数据中心 网络优化 Spine-Leaf框架 链路冗余

2024

铁道货运
中国铁道科学研究院

铁道货运

影响因子:0.776
ISSN:1004-2024
年,卷(期):2024.42(12)