2021-07-02 AI/ML for NFV Meeting Minutes

Anuket Project

2021-07-02 AI/ML for NFV Meeting Minutes



Attendees

@Sridhar Rao

@Rohit Singh Rathaur

@Girish

@Al Morton

@Ildiko



Sl. No.

Topic

Presenter

Notes

Sl. No.

Topic

Presenter

Notes

1

Request to create gitlab repo for this incubation project



@Sridhar Rao to initiate on 6th of July.

2

Presentation to EUAG



EUAG: End User Advisory Group.

6th of July - Present the plan, and request for support w.r.t Data.

3

Framework Deployment Status

@Girish

@Rohit Singh Rathaur

LF Acumos deployment is not stable - Ended up wasting too much time on it.

Move the "framework" issue to later phase - need volunteer(s) to get the issue with these frameworks deployment fixed.

Work independent of these framework - Python and ML-Libraries – Jupyter Notebooks.

Pod12 - Jumphost. Install Ubuntu 20.04 LTS on Jumphost.

4

Model Deployment Status

@Girish

@Rohit Singh Rathaur

RNN and LSTM – VM failure.

Data: https://github.com/amasend/SDN_with_Neural_Network/tree/master/data  - CPU

5

Summary of "Gaps" in Existing Failure prediction works

@Girish

@Rohit Singh Rathaur

  1. Container Failures are not considered.

  2. Node level failures are not considered.

  3. Application level failures are not considered.

6

Model Enhancement Status

@Girish

@Rohit Singh Rathaur

Plan will be based on - 5.

 Create separate models for each of the failures 

Girish/Rohit would like to share ideas on Model Enhancement Next week.

  • Node-Level .

  • VM - Current focus.

  • Container/Pod

  • Application/Workload

7

Data Status

@Girish

@Rohit Singh Rathaur

@Sridhar Rao to send mail to @Ildiko - explaining the requirements.



8. 

Failure Prediction Definition - Status

@Girish

@Rohit Singh Rathaur

Classification of Failures
Mapping data and failures  - ToDo - Node and VM (Rohit), Container and App to Girish.
 Models and Failure category mapping.