Abstract
Proposed herein is a technique to utilize a sequential analysis to map the probability of a sequence of commands executed via Command Line Interface (CLI) in order to determine a root cause of a problem in a network. This technique may provide different paths that can be analyzed in order to debug an issue. The sequential analysis may be performed in tandem with an interpreter model that may read text generated by each command, verify whether there is any problem in a sub-segment, and, upon determining a problem, may enable automatic remediation to the problem.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sharma, Sarthak and Singh, Lovepreet, "USING SEQUENTIAL ANALYSIS AND SEARCH SPACE MAPPING MACHINE LEARNING TECHNIQUES FOR TROUBLESHOOTING A SOFTWARE DEFINED NETWORK OR A NETWORK FUNCTION VIRTUALIZATION BASED NETWORK", Technical Disclosure Commons, (January 21, 2020)
https://www.tdcommons.org/dpubs_series/2879