2021-11-19 AI/ML for NFV Meeting Minutes

Anuket Project

2021-11-19 AI/ML for NFV Meeting Minutes

Attendees

@Sridhar Rao

@Girish

@renukananda td

@Vidyashree K S

@Hemashree R

@Ildiko

 

 

Sl. No.

Topic

Presenter

Notes

Sl. No.

Topic

Presenter

Notes

1

About Thoth

@Sridhar Rao

Updates to the slides presented last week.

Latest version can be found here: About Thoth 

Slide about Nouns and Verbs of Thoth.

2

Demo of Synthetic Monitoring/Logging Data Generation using GANs.

@renukananda td @Vidyashree K S

@Hemashree R

Checked with

  1. Barometer project too - They too don't have data sample

  2. Linux Foundation testbeds. They mostly run Baremetal as service. In this scenario, the cloud-provider (the labs) do not run any observability tools.

  3. China Mobile - Considering.

Current: Performance is poor (55%). Working towards improving the same.

Future: Try Table GANs.

ToDo:

  1. Finalize the dataset

    1. Consideration: Multiple sources or Single Source

    2. All infra-dataset is multiple sources.

  2. On Openstack or K8S - Run Functest including performance tests. While running functest we can collect the infrastructures.

3

ML in Cloud-Native NFV

@Girish

Work in Progress - Move to Next week for discussion on this.

4

MaaS

@Sridhar Rao

  1. Framework - Acumos|Kubeflow.

    1. Deployed Kubeflow, and a pipeline with basic linear regression was tried.

    2. Trying to answer: How easy it is to add newer models - and each model as a separate container.

  2. Human Resource - Researchers - Team

    1. Karthik and Atif. 

    2. Access to Pod18 - for running Kubeflow.

  3. Data Confidentiality Promise.

  4. PoC -  ??? (Problem for which they (end-users) don't want to invest internal Human resources).