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QoS evaluation method of optical network based on optical network alarm mega data

机译:基于光网络告警大数据的光网络QoS评估方法

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Automatic evaluation of optical network service quality is a research hotspot in optical network operation and maintenance management.Based on the large alarm data of optical netvvork,a evaluation method of optical network service quality based on FCM and rough set theory is proposed in this paper. First, the evaluation index is selected based on the classification statistics of alarm data; Secondly,adopt the FCM method to fuzzy clustering of raw data,and locate the fuzzy language item;Finally,extract the optical network service quality evaluation rule and establish system of the optical network service quality evaluation. The test shows that the accuracy of this method is 73% based on the 22 alarm samples in an optical network and the accuracy of the evaluation increases with the increase of the number of samples.
机译:光网络服务质量自动评估是光网络运维管理研究的热点。基于光网络的大量告警数据,提出了一种基于FCM和粗糙集理论的光网络服务质量评估方法。首先,根据告警数据的分类统计选择评价指标;其次,采用FCM方法对原始数据进行模糊聚类,定位模糊语言项;最后,提取光网络服务质量评价规则,建立光网络服务质量评价体系。测试表明,基于光网络中的22个警报样本,该方法的准确度为73%,并且评估的准确性随样本数量的增加而增加。

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