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The Study of Cross Networks Alarm Correlation Based on Big Data Technology

机译:基于大数据技术的跨网报警关联性研究

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Cross network alarm correlation is an important basis for fault root cause analysis. Based on big data association analysis algorithm, this paper puts forward a new analysis method of cross network of the network element (NE) alarm correlation. Meanwhile, in order to overcome the disadvantages of previous alarm correlation which is based on topology and rules, a kind of correlation strategy of pan NE relation is put forward. The validity of the new method of alarm correlation analysis is verified by the test of the actual data coming from operator.
机译:跨网络警报关联是故障根本原因分析的重要基础。基于大数据关联分析算法,提出了一种新的跨网元告警关联分析方法。同时,为了克服现有的基于拓扑和规则的告警关联的弊端,提出了一种泛网元关联的关联策略。通过对来自操作员的实际数据进行测试,验证了新的警报关联分析方法的有效性。

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