人工智能在通信网络故障溯源的应用研究
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摘要
重点探讨了人工智能在通信网络故障溯源方面的应用研究和相关案例。首先介绍了目前网络运维的现状和国内外研究进展,结合通信网络运维中的实际业务和问题总结了多个应用场景,并针对所有场景提出了故障溯源整体解决方案。最后重点分析了中国联通IPRAN网络告警根因案例。该案例的实践效果说明了人工智能应用到网络运维中可以帮助运维人员快速定位根告警和故障源,提高运维效率。
It focuses on the research and application of artificial intelligence in roots-tracing of network alarm. Firstly it introduces the current status of network maintenance and research status,then combined with the business and problem in network maintenance several application scenarios are summarized,and a general solution of root-tracing for all scenarios is proposed. Finally the root-tracing case of China Unicom IPRAN network alarm is analyzed in detail. The practical effect of this case shows that the application of artificial intelligence in network operation and maintenance can help operators locate root alarms and fault sources quickly and improve the efficiency.
It focuses on the research and application of artificial intelligence in roots-tracing of network alarm. Firstly it introduces the current status of network maintenance and research status,then combined with the business and problem in network maintenance several application scenarios are summarized,and a general solution of root-tracing for all scenarios is proposed. Finally the root-tracing case of China Unicom IPRAN network alarm is analyzed in detail. The practical effect of this case shows that the application of artificial intelligence in network operation and maintenance can help operators locate root alarms and fault sources quickly and improve the efficiency.
引文
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[3]Gartner.Market Guide for AIOps Platforms[EB/OL].[2018-09-24].https://www.gartner.com/doc/3772124/market-guide-aiops-platforms.
[4]JINGJING S,LIN Y,A-XING Z,et al.Machine-Learning Variables at Different Scales vs.Knowledge-based Variables for Mapping Multiple Soil Properties[J].Soil Science Society of America Journal,2018,82(3):645-.656
[5]AGGARWAL B,BHAGWAN R,PADMANABHAN V,et al.NetPrints:Diagnosing Home Network Misconfigurations Using Shared Knowledge[C]//Usenix Symposium on Networked Systems Design&Implementation.USENIX Association,2009.
[6]ARZANI B,CIRACI S,LOO B T,et al.Taking the Blame Game out of Data Centers Operations with NetPoirot[C]//Conference on ACMSigcomm Conference.ACM,2016.
[7]DIMOPOULOS G,LEONTIADIS I,BARLET-ROS P,et al.Identifying the root cause of video streaming issues on mobile devices[C]//CoNEXT'15 Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies.ACM,2015.
[8]朱一波,鲍培明,吉根林.一种用户频繁移动模式并行挖掘算法[J].中国科学技术大学学报,2018(1):57-64.
[9]孙学波,石飞达.基于Hadoop的Apriori算法研究与优化[J].计算机工程与设计,2018(1):126-133.
[10]朱林.基于MapReduce模型可扩展的序列模式挖掘的研究[J].科技通报,2018(1):212-217.