Attendees

Akanksha

Ildiko

Sl. No.

Topic

Presenter

Notes

0

Introduction of Volunteers

Jahanvi: IGDTU-Women . In 3rd Yr. Computer Science.

Kanak: BIT Mesra. 3rd Yr Math/Computing.

Akanksha: BIT Mesra. 3rd Yr Math/Computing.

1

Thoth as formal project in Anuket

Sridhar Rao

Action Item: Sridhar to send a formal mail to TSC, requesting for project approval.

From next week, Thoth will be a formal project in Anuket.

Participation in Lakelse release will be difficult. Targeting 'M' Release.

2

EUAG Update

Sridhar Rao

We presented at EUAG meeting on 20th July.

Action Item: To Create a page in lf-euag confluence page.

Target Completion Date: 30th July

.

3

Review of Model (FP) enhancement Ideas

Sridhar Rao

No progress yet.

Girish: We should continue to enhance the model, and not necessarily wait for the data.

4

Data Status

Failure Type	Data Model Status	Availability	Creation Possibility
Node	IN PROGRESS	NO	Difficult
Links	IN PROGRESS	NO	OK
VM	YES	YES	Difficult (Experimental WIP)
Container	YES	NO	Difficult (Experimental WIP)
Application	IN PROGRESS	YES	Difficult
Middleware	IN PROGRESS	NO	Difficult

5

Volunteers - AlgoSelector

Work was described on 19th July. Links are also project.

General Strategy Convert your questions to users in MCQ - Yes/No, multiple-choices, Scale.

Web-Based application implementation

Step-1: Separate graphs for each of the category. Start with MIT Graph .. and enhance it based on other references.

Name	ML Category
Jahanvi	Supervised
Akanksha	Unsupervised
Kanak Raj	Reinforced

Step-2: Integration of these three

Step-3: Implementation platform/approach survey. Software architecture to use to implement (Ex: Python module 'abc' or dynamic forms, chat-bot).

Step-4: Implement the graph

Step-5: Testing/Review

7

Volunteers - ML Problem

Relatively easier problems to obtain data.

Important: Volunteer should be interested in 'Publications'

Step1: Enhance the survey with "Gap Analysis"

Name	ML Problem
	Trend and Pattern Analysis
	Anomaly Detection
	Correlation Analysis

Step2: Ideas to fill the gap.

Step3: Enhance the existing implementation

8

TVLV-Tool for FailureGen - Project Update

Work is progressing well, Next week, Demo of Stage-1.

Student: Shubhank Saxena

9

Other Open problems (looking for contributors)

Project	Duration	Summary
Model based, Multi-Source Data Extraction	1 Month	Given a data model, the tool should extract the required data from multiple sources (Prometheus, Influxdb, Filesystem, etc).
Data Anonymizer	1 Month	This can be part of the previous tool, or can be developed independently. Given the format of the data-source, and columns to exclude, the tools should create a copy of the data without those columns.
Synthetic Data Generator	1 Month	Simulate infrastructure metrics. Emulate Collectd-Data.
Chaos-Tools and Data-Generation	1 Month	Given data-models, Identify which of the chaos tools can be reused to emulate the data. This applies only to Kubernetes.

10

Jumphost Re-Install Status

WIP. Target Date: 25th July.

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

Attendees