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Advanced Time Series Models For Predictive Modeling and Early Detection of SFP Failures by gpragya594 is a document available to read on EtoBox.
What is Advanced Time Series Models For Predictive Modeling and Early Detection of SFP Failures about?
The paper presents advanced machine learning models, including SARIMA, LSTM, GRU, and SVR, for predicting failures in Small Form-factor Pluggable (SFP) ports in Brocade switches by analyzing transmit power data. It emphasizes the importance of preprocessing and feature selection to enhance predictive accuracy, focusing on key features like temperature and tx-power. The study aims to improve network reliability through proactive maintenance by accurately forecasting SFP health and potential failures.
- Author
- gpragya594
- Language
- EN