基于大数据告警信息的光网络风险感知路由方法

Optical network risk perception routing method based on big data alarm

光网络的业务传输安全问题一直是光网络运维管理工作的重点之一。基于光网络大数据告警信息,提出了一套光网络风险感知路由方法。首先,结合故障处理手册,将光网络告警进行定位,计算风险综合值;然后,通过模糊C均值聚类(FCM)方法对数据进行模糊聚类,定位模糊语言项;最后,采用熵权法结合风险综合值计算权重,调用最短路径算法寻路。仿真结果表明:该方法可以基于最近一周光网络实时告警状况,同时结合历史告警状况,感知网络风险,动态调整路由方案,规避风险点,找出源节点与目标节点间的风险最低路径。

The security of optical network service transmission has always been one of the focuses of optical network operation and maintenance management.Based on optical network big data alarm information,a risk perception routing method for optical networks is proposed.Firstly,combined with the fault handling manual,the optical network alarm is positioned to calculate the comprehensive risk value.Secondly,fuzzy C means clustering(FCM)is used to cluster the data and locate fuzzy linguistic items.Finally,the weight is calculated by entropy weight method,and the shortest path algorithm is used to find the way.The simulation results show that the system can sense the network risk according to the real-time alarm status of optical network in the last week,combine with historical warning,dynamically to adjust the routing scheme and avoid the risk points,finally get the lowest risk path between source and destination nodes.