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Sl. No.Activity by Intern/Researcher(s)                                                              WeekComment / Support from Advisor (s)               Updates by Rohit Singh Rathaur
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.

Understand the art of publications and OS projects. Decided to go with LFN Acumos. Chose a problem domain: Failure Prediction to start working with. Completed the reading papers related to Failure Prediction and updated the implementation details till now whatever I have got.

Status: Ongoing

preparing a 1-page report where mentioned failures and what type of failures. 

https://docs.google.com/spreadsheets/d/1N9LKZjx117zQHJSLcCFK8dwiOpswWyhZECaNNS6NKHo/edit?ts=60c3613c#gid=0 

2

Deploy the ML Framework (Tentative: LFN Acumos).

  • Document the usage workflow
  • Try any existing model.
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.

1Provide the 3 models to use.
4

Deploy the models on the framework (2)

Collect the data (contd).

1None.
5Test and optimize the models - If possible.2Suggestions for optimization approaches.
6Study ML technique for Synthetic time-series data generation (STSDG)1Suggest the right technique
7Implement the technique for STSDG2

8Test and optimize STSDG1

9Knowledge Transfer, Handoff (Buffer)1

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