Large language model-based optical network log analysis using LLaMA2 with instruction tuning

The optical network encompasses numerous devices and links, generating a significant volume of logs. Analyzing these logs is significant for network optimization, failure diagnosis, and health monitoring. However, the large-scale and diverse formats of optical network logs present several challenges...

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Veröffentlicht in:	Journal of optical communications and networking 2024-11, Vol.16 (11), p.1116-1132
Hauptverfasser:	Pang, Yue, Zhang, Min, Liu, Yanli, Li, Xiangbin, Wang, Yidi, Huan, Yahang, Liu, Zhuo, Li, Jin, Wang, Danshi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Analytical models Anomalies Anomaly detection Classification Data analysis Data models Datasets Generative artificial intelligence Knowledge engineering Large language models Monitoring Network management systems Optical data processing Optical fiber networks Privacy Security Semantics Tuning
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