Abstract
Described herein are techniques for a Machine Learning (ML) model to learn from a training set and predict the cause of a failure accurately. Although it is challenging for a human to identify the root cause of an issue when configuration and show command outputs are very large (e.g., for thousands of Internet Protocol (IP) routes), troubleshooting on a network device typically has to rely on a manual process with the help of some show commands.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Murgai, Vishal; Bhatt, Nikul; and Addanki, Srinivas, "ON-DEVICE ANALYTICS: DATA COLLECTION, REPRESENTATION, AND FEEDBACK LOOP", Technical Disclosure Commons, (December 21, 2018)
https://www.tdcommons.org/dpubs_series/1816
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