Predicting network outages based on Q-drop in optical network

Yohei Hasegawa, Masato Uchida

研究成果: Conference contribution

抄録

The sudden drop in the quality of an optical signal, called Q-drop, is an important factor for predicting network outages. Herein, we classify sudden drop events into two classes: one the results in a network outage, and one that does not result in a network outage, for the same period of time. Therefore, we build a predictor based on machine learning. The features of the predictor are given by characterizing the Q-drop event based on the optical layer characteristics immediately before the Q-drop event. The predictor is trained for each Q-drop event to adapt to the temporal change of the optical layer characteristics. Additionally, oversampling is applied to training data to avoid overlooking the network outage in the prediction. From the evaluation using real data, we showed that the proposed method is effective for the prediction of network outages in a short period. Furthermore, we found that information regarding the instability of the optical signal is important for the prediction of network outages. The result herein can contribute to improving the availability of the network because the proposed method predicts network outages based on characteristics that are invisible from the IP layer.

本文言語English
ホスト出版物のタイトルProceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
編集者Vladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossian Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elci, Susumu Takeuchi, Satish Puri
出版社IEEE Computer Society
ページ258-263
ページ数6
ISBN(電子版)9781728126074
DOI
出版ステータスPublished - 2019 7
イベント43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States
継続期間: 2019 7 152019 7 19

出版物シリーズ

名前Proceedings - International Computer Software and Applications Conference
1
ISSN(印刷版)0730-3157

Conference

Conference43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
CountryUnited States
CityMilwaukee
Period19/7/1519/7/19

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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