Abstract
Current network monitoring and health visualization tools and systems provide the results of their analysis only in the form of a report. To address that limitation, techniques are presented herein that support a range of enhancements to such tools.
- One such enhancement allows the tools to automatically diagnose an issue, and provide a solution to the same, using predictive analysis.
- Another such enhancement encompasses training the tools to provide detailed and forthright solutions to an end user.
Accordingly, aspects of the techniques encompass a solution-oriented approach and support a monitoring and solutioning tool MAST that is able to interact with both an end-user and the different devices within a managed network.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kharche, Rutuja Pravin; Humnabadkar, Shweta; and Homroy, Homarghya, "SELF-DRIVEN ISSUE TACKLING AID", Technical Disclosure Commons, (April 05, 2024)
https://www.tdcommons.org/dpubs_series/6858