|1||Committers and Contributors|
Girish and Rohit will be Committers.
Rest will be Contributors.
Sridhar to complete the info.yaml - and accordingly create (a) Slack.
Failure Prediction using AI/ML in NFV Environments : The Data description is updated.
ToDo: (a) Location of the Node Failure events (b) Location of the Link Failure events.
|3||Failure Prediction Implementation Status|
2 Approaches to Enhance the model.
15th – Plan to complete both enhancements.
Complete the testing with existing data by End of August.
Implementation is Ongoing - Testing will be blocked until we get some data. Continuing with the existing data.
If Testing of the models with more Real-world data is not possible - consider doing Gap-Analysis on (Trend/Pattern and Anomaly Detection)
|3||Volunteers - AlgoSelector|
Kanak: Reinforcement Learning. Going through the articles. Unable to really find right reasoning. When to use which algorithm.
List the algorithms that are part of reinforcement learning - Start 2-3 algorithms. Applicability of these algorithms - when to use points.
Use: Decision Tree (Rule-Based).
Goal: Which Python module/project to reuse.
|4||TVLV-Tool - Update.|
APIs to config and start is completed. Stop API is ongoing.
ToDo: Containerizing and creating VM.