面向阿里云的铁路供电信息系统迁移研究
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刘仕兵(1970—),男,教授,研究方向为电气化轨道交通接触网技术,供电信息化管理技术、监控技术。

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TP399

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江西省教育厅科技项目(GJJ150530,GJJ160488)


Transfer Research on Ali Cloud-Oriented Railway Power Supply Information System
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    摘要:

    在云计算和供电信息系统的基础上,重新构建了面向阿里云云计算的沈阳局供电信息系统框架。 从两个角度阐述,一方面是国内铁路行业的上云情况及通过参与沈阳铁路局现有供电信息系统的规划设计,发现系统运行缓慢、前期建设成本高、后期维护困难等问题。 另一方面是对阿里云的全面深度学习,从而对其云基础设施产品进行二次组合创新构成混合云模型。 最后将两方面进行结合形成云环境下的混合云信息系统框架, 该框架为铁路供电部门高效综合办公和生产调度提供了云平台条件,并且很好地体现了阿里云云计算的大规模、虚拟化、高可靠性、高可扩展性等特点。 为信息系统的云迁移提供可行性的探索。

    Abstract:

    Based on cloud computing and power supply information system, this paper reestablished the Ali cloud computing-oriented framework of power supply information system of Shenyang Railway Bureau. Firstly, this paper discussed such problems as system slowness, high pre-construction cost and difficulties in post main- tenance by taking into account the cloud situation of domestic railway industry and by the planning and design of the existing power supply information for the Shenyang Railway Bureau. Then, the second combination of cloud products was carried out to form a hybrid cloud model through comprehensive and in-depth learning of Ali cloud. Finally, the two aspects were combined to form a hybrid cloud information system framework under the cloud environment. This framework may provide railway power supply departments with the cloud platform con- ditions for their efficient and comprehensive administration and production scheduling, representing characteris- tics including large scale, virtualization, high reliability and scalability, which develops a feasibility study on cloud migration of information system.

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刘仕兵,刘欢,王小艺,曾聿田.面向阿里云的铁路供电信息系统迁移研究[J].华东交通大学学报,2018,35(1):123-129.

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  • 在线发布日期: 2021-05-25
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