Time to fail and edge impact sequence predictions for optical transceivers

A method comprising:

• predicting, via execution of a long short-term memory (LSTM) recurrent neural network, a time until failure of an optical transceiver within a Fibre Channel (FC) network;
• determining, via a historical record of log files corresponding to the optical transceiver, an expected impact to the FC network given the failure of the optical transceiver;
• providing an indication to a customer of the FC network of the predicted time until failure of the optical transceiver and the determined expected impact;
• and
• receiving confirmation that the optical transceiver has been replaced.

A system, comprising:

• an optical transceiver within a Fibre Channel (FC) network, configured to periodically send transmission power values and log files;
• one or more processors;
• and
• memory having program instructions that, when executed by the one or more processors, cause the one or more processors to:
• predict a time until failure of the optical transceiver by receiving the transmission power values and executing a neural network based, at least in part, on the transmission power values, wherein the neural network outputs a predicted time until failure of the optical transceiver;
• determine an expected impact to the FC network given a failure of the optical transceiver by receiving the log files and identifying, via natural language processing, patterns of event sequences within the log files;
• provide an indication to a customer of the FC network of the predicted time until failure of the optical transceiver and the expected impact given the failure of the optical transceiver;
• and
• receive confirmation that the optical transceiver has been replaced.