Using Machine Learning in Communication Networks [Invited]

被引：53

作者：

Cote, David ^{[1
]}

机构：

[1] Ciena Corp, Ottawa, ON K2K 0L1, Canada

来源：

JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING | 2018年 / 10卷 / 10期

关键词：

Communication networks; Cross layer design; Machine learning; Prediction methods; Software defined networking;

D O I：

10.1364/JOCN.10.00D100

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we first review how the main machine learning concepts can apply to communication networks. Then we present results from a concrete application using unsupervised machine learning in a real network. We show how the application can detect anomalies at multiple network layers, including the optical layer, how it can be trained to anticipate anomalies before they become a problem, and how it can be trained to identify the root cause of each anomaly. Finally, we elaborate on the importance of this work and speculate about the future of intelligent adaptive networks.

引用

页码：D100 / D109

页数：10

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