OpenStack > 实例探究 > 基于工业云支持现代物流业务发展

基于工业云支持现代物流业务发展

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 China Railway Corporation's OpenStack-based Industrial Cloud for Modern Logistics Business Development - IoT ONE Case Study
技术
  • 基础设施即服务 (IaaS) - 云计算
  • 基础设施即服务 (IaaS) - 私有云
适用行业
  • 铁路与地铁
  • 运输
适用功能
  • 物流运输
  • 维护
用例
  • 库存管理
  • 交通模拟
服务
  • 云规划/设计/实施服务
  • 系统集成
挑战
  • OpenStack与庞大复杂的原始系统对接
  • OpenStack 模块的松散耦合和不稳定性
  • 大规模集群部署中的瓶颈
  • 传统运营方式面临的挑战

他们的IT基础设施以其更高效、更灵活、更易于部署、更安全、更可控的架构,为客户提供更便捷的信息查询、在线购票、电子支付等网络服务。

基于铁路运维的特点和需求,需要进一步开发基于OpenStack的中铁云,满足稳定性、可靠性、可用性和安全性的标准,解决OpenStack模块和组件的不足,支持铁路行业超大规模私有云的部署和实施。

客户
关于客户

中国中铁是中央管理的国有独资企业,根据《中华人民共和国工业企业法》,经国务院批准设立,为全民所有制,经登记注册。资本金10,360亿元。

解决方案

作为OpenStack的行业大用户,中铁希望掌握开源技术,并以安全可控的方式投入使用。同时,为了在用户和供应商之间建立互惠互利的基于OpenStack的商业生态系统,中铁信息技术中心与北京中铁信息技术有限公司合作。和北京天云信息技术有限公司正在牵头联合开发。

中铁云以其强大而灵活的资源管理能力,旨在为云平台迁移部署的应用提供强大的支持。

运营影响
  • The application of China Railway Cloud has transformed the construction model of China railway information system from the traditional project-driven to platform-driven. It has better supported business transformation, booming development, and the extended business with the railway information infrastructure based on the cloud platform. The passenger services of China Railway have extended to train catering, hotel bookings, tourist supermarkets, vehicle reservations, concierge service, and other related services. Freight transportation services have extended to electronic tickets, block trades, logistics services, warehousing services, multi-modal transportation, etc. The diverse business services also cover on-board commercial services, land development, insurance, financial planning, material procurement, and other areas. The successful deployment of China Railway Cloud has not only provided a more efficient, more convenient, and environmentally friendly IT infrastructure for China Railway but also provided useful references for other enterprises and industries.
数量效益
  • China Railway Cloud has been deployed on about 5000 physical server nodes, including about 800 KVM nodes and about 730 VMware nodes.
  • 20PB SAN storage and 3PB distributed storage (Ceph) have been deployed.
  • An additional 2000 physical server nodes are to be deployed toward the end of 2017.

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