摘要
当前,云计算逐渐成为铁路信息系统的主流技术架构,铁路数据中心云化进程不断加快,同时正朝着多地多中心方向发展,其运行与维护(简称:运维)环境异构特征愈发突出,运维业务需求日趋复杂化。为有效应对铁路数据中心运维面临的压力和挑战,提升运维业务的自动化、智能化水平,提出铁路数据中心智能运维管理系统方案,重点对运维数据采集、运维监控指标体系及运维数据存储展开研究,为铁路数据中心智能运维管理系统的开发奠定了基础。
At present,cloud computing has gradually become the mainstream technical architecture of railway information systems,and the process of cloud development of railway data center is accelerating continuously.Meanwhile,railway data center is developing towards multi-location and multi-center direction,with increasingly prominent heterogeneous characteristics of operation and maintenance environment and increasingly complicated operation and maintenance business requirements.To effectively cope with the pressure and challenges facing the operation and maintenance of railway data centers by improving the automatic and intelligent level of the operation and maintenance business of the railway data centers,a solutio to the intelligent operation and maintenance management system of railway data centers is put forward.This paper mainly focuses on operation and maintenance data collection,establishment of index system for the operation and maintenance of railway data centers as well as data storage,laying a solid foundation for the development of the intelligent operation and maintenance management system of railway data centers.
作者
赵天
刘宇
何欣玲
黄思炜
ZHAO Tian;LIU Yu;HE Xinling;HUANG Siwei(China Railway Information Technology Group Co.Ltd.,Beijing 100844,China)
出处
《铁路计算机应用》
2022年第6期50-56,共7页
Railway Computer Application
基金
中国国家铁路集团有限公司科技研究开发计划重大项目(K2020S003)。
关键词
铁路数据中心
智能运维
运维数据采集
指标体系构建
大数据
railway data center
AIOps
operation and maintenance data collection
establishment of index system
big data