• 查询稿件
  • 获取最新论文
  • 知晓行业信息
饶伟, 王敏红, 许刚, 谷鹏. 铁路多地多中心监控运维关键技术研究[J]. 铁路计算机应用, 2023, 32(3): 34-38. DOI: 10.3969/j.issn.1005-8451.2023.03.07
引用本文: 饶伟, 王敏红, 许刚, 谷鹏. 铁路多地多中心监控运维关键技术研究[J]. 铁路计算机应用, 2023, 32(3): 34-38. DOI: 10.3969/j.issn.1005-8451.2023.03.07
RAO Wei, WANG Minhong, XU Gang, GU Peng. Key technologies of railway multi-location and multi-center monitoring operation and maintenance[J]. Railway Computer Application, 2023, 32(3): 34-38. DOI: 10.3969/j.issn.1005-8451.2023.03.07
Citation: RAO Wei, WANG Minhong, XU Gang, GU Peng. Key technologies of railway multi-location and multi-center monitoring operation and maintenance[J]. Railway Computer Application, 2023, 32(3): 34-38. DOI: 10.3969/j.issn.1005-8451.2023.03.07

铁路多地多中心监控运维关键技术研究

Key technologies of railway multi-location and multi-center monitoring operation and maintenance

  • 摘要: 为适应中国国家铁路集团有限公司统筹规划及数据中心多地多中心的发展要求,实现全国铁路数据中心集中运营维护(简称:运维)管理的目标,提出多地多中心监控运维体系架构。采用监控运维平台分布式部署、资产统一管理、统一监控等关键技术,实现了分钟级的批量多云环境巡检,以及对监控数据、日志数据的统计分析,并对云环境的资源使用提出了优化建议,以期为铁路数据中心云环境的运维工作提供重要支撑。

     

    Abstract: In order to adapt to the overall planning of CHINA RAILWAY and the development requirements of data centers in multiple-location and multiple-center, and achieve the goal of centralized operation and maintenance management of national railway data centers, this paper proposed a system architecture of multi-location and multi-center monitoring operation and maintenance. Using key technologies such as distributed deployment of monitoring operation and maintenance platform, unified asset management, unified monitoring, etc., the paper implemented the minute-level batch multi-cloud environment patrol and statistical analysis of monitoring data and log data, and put forward optimization suggestions for the use of resources in the cloud environment, with a view to providing important support for the operation and maintenance of the cloud environment in the railway data center.

     

/

返回文章
返回