Introduction
Advisors
- Sridhar K. N. Rao (Sridhar Rao)
Intern
Accepted: Rohit Singh Rathaur
Meeting Details
Topic: AI/ML for NFV
Time: 13:00 Universal Time UTC
Day: Every week on Friday
Zoom Link: https://zoom.us/j/96163911066
Meeting ID: 961 6391 1066
Find your local number: https://zoom.us/u/acEvZCMvjT
Volunteer Contributions
| Sl. No. | Contributor | Contribution | Duration | Certificate of Appreciation/Contribution |
|---|---|---|---|---|
| 1 | Girish L | Survey of:
| 1 Month | |
Timeline and Goals
| Phase | Time |
|---|---|
| 1 | 30 November 2021 |
Phase-1 Goals
- Running ML-Framework with at least 3 existing models for NFV.
- Generate Synthetic Data using ML.
- Identify 3 problems for which ML can be applied in NFV - For which no acceptable models exist.
- Identify the ML technique that can be used for these problems.
Phase-1 Weekly Activity
12 weeks, if the Intern is working Full-time.
| Sl. No. | Activity by Intern/Researcher(s) | Week | Comment / Support from Advisor (s) |
|---|---|---|---|
| 1 | Understand the state of art - Publications and OS projects Analyze the Gaps. Create a 1-Page report based on the analysis. Identify the problems in NFV for which the techniques are still not good enough. | 1.5 | Share the State of the art survey. Provide initial gap analysis. |
| 2 | Deploy the ML Framework (Tentative: LFN Acumos).
| 1.5 | Provide access to the server(s). Intel Pod? |
| 3 | Collect, analyze and document the implementation of 3 existing models for NFV. Collect the data. | 1 | Provide the 3 models to use. |
| 4 | Deploy the models on the framework (2) Collect the data (contd). | 1 | None. |
| 5 | Test and optimize the models - If possible. | 2 | Suggestions for optimization approaches. |
| 6 | Study ML technique for Synthetic time-series data generation (STSDG) | 1 | Suggest the right technique |
| 7 | Implement the technique for STSDG | 2 | |
| 8 | Test and optimize STSDG | 1 | |
| 9 | Knowledge Transfer, Handoff (Buffer) | 1 |