期刊文献+

云化核心网故障场景化处置及系统实现探讨 被引量:3

Discussion on Scenario-based Handling and System Implementation of Cloud Core Network Faults
在线阅读 下载PDF
导出
摘要 基于云化核心网部署特点及运营维护需求,对云化核心网故障从跨层跨域维度进行了场景化研究,结合实际生产运营,对场景化故障的管控流程、处置环节、方案要素进行了研究和验证。本方案锚定云化核心网智能化运营维护,基于开放式架构、服务化能力接口调用的思想进行了故障场景化处置体系的分析、研究和设计,并对关键技术方案进行了验证。 Based on the deployment characteristics and operation and maintenance requirements of the cloud core network,it conducts a scenario study of the cloud core network faults from the cross layer and cross domain dimensions,and studies and verifies the management and control processes,disposal links,and program elements of the scenario faults in combination with the actual production and operation.This solution anchors the intelligent operation and maintenance of the cloud core network,analyzes,studies and designs the fault scenario disposal system based on the idea of open architecture and service-oriented capability interface invocation,and the key technical solutions are verified.
作者 王勇 苗杰 汤林超 刘凡栋 尼松涛 Wang Yong;Miao Jie;Tang Linchao;Liu Fandong;Ni Songtao(China United Network Communications Group Co.,Ltd.,Bei-jing 100033,China;China Information Technology Designing&Consulting Institute Co.,Ltd.Zhengzhou Branch,Zhengzhou 450007,China)
出处 《邮电设计技术》 2023年第4期70-75,共6页 Designing Techniques of Posts and Telecommunications
关键词 云化核心网 故障场景化 网络自智 AI算法 Cloud core network Fault scenario Network self intelligence AI algorithm
  • 相关文献

参考文献11

二级参考文献36

  • 1马海英,李杰,金文艳.网格监控系统的研究[J].大众科技,2004(12):29-30. 被引量:1
  • 2JIAO Minghai,YAN Ping,JIANG Huiyan.Research and Application on Web Information Retrieval Based on Improved FP-Growth Algorithm[J].Wuhan University Journal of Natural Sciences,2006,11(5):1065-1068. 被引量:3
  • 3蒋安东,蔡圣闻,黄晨,金仑,谢俊元.内网监控系统的架构设计与研究[J].计算机应用研究,2007,24(2):305-307. 被引量:3
  • 4White Tom.Hadoop: the Definitive Guide. O'Reilly Media, p.3. ISBN978-1-4493-3877-0, 2012.
  • 5Nancy Lynch, Seth Gilbert. Brewer's conjecture and thefeasibility of consistent, available, partition-tolerant web services. ACM SIGACT News, 2002, 33(2):51-59.
  • 6Ghemawat, Sanjay, Howard Gobioff, et al. The Google file system. ACM SIGOPS Operating Systems Review, 2003, 37(5).
  • 7Viktor Mayer-Schonberger.大数据时代[M].盛杨燕,周涛,译.杭州:浙江人民出版社,2012.
  • 8涂子沛.数据之巅[M].北京:中信出版社,2014.
  • 9傅志华.大数据在电信行业的应用[EB/OL].(2014-11-17).http://www.cnii.com.cn/Bigdata/2014-11/17/content_1479083.htm.
  • 10曹星雯.移动互联网时代运营商大数据应用模式重要性突显[J].世界电信,2015(12).

共引文献124

同被引文献16

引证文献3

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部