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  1. Use Chaos tools to generate Data - Infrastructure Data and Events.
  2. Time-basedVarying, configuration-changing, stress-ng. Input - Table of Load-Varying tool to emulate failures.
  3. Enlist the operations that are done from VM/Container, and that can make the VM/Container fail.
  4. Simplify deployment of Acumos
  5. Emulating Monitoring data and events - GANs?
  6. Build a custom VM/Container which tries its best to fail - based on 2 and 3.
  7. Data Extraction utility - Given a data model, the tools should extract the required data from the large amount of data.
  8. AlgoSelector - Wizard tool that will ask user about the problem and data, and will suggest which ML technique to use (within Supervised, Unsupervised, and reinforced).


Underlined: Student Volunteers already started working on these.

Meetings where some these projects are elaborated:


2021-07-23 AI/ML for NFV Meeting Minutes