Add Python application for real-time PRB prediction and automated resource optimization 27/15327/2 master
authorsunil.n <sunil.n@samsung.com>
Wed, 3 Dec 2025 08:48:17 +0000 (14:18 +0530)
committersunil.n <sunil.n@samsung.com>
Wed, 3 Dec 2025 08:48:17 +0000 (14:18 +0530)
commit30395f3b3a7e0ccb2240ff90efee79c826974d88
tree422e74bc23a7a3f3c3054246d14e8e3f472a8dbb
parentb5e1ea7217bb5567b6773ce7577c60b5ca910aa6
Add Python application for real-time PRB prediction and automated resource optimization

- Implement Flask-based web service for PRB prediction with LSTM model integration
- Add real-time inference and automated slice resource optimization via RAN NSSMF
- Implement notification-driven architecture for event-based processing
- Add Service Management Environment (SME) API for dynamic InfluxDB endpoint discovery
- Include comprehensive error handling, thread safety, and logging
- Add requirements.txt with all necessary dependencies
- Update README.md with complete application documentation and deployment guide

Change-Id: I396c6e6e11a2b60b1b0c58dd7df12d2a45ad0cd5
Signed-off-by: sunil.n <sunil.n@samsung.com>
sample-rapp-generator/rapp-slice-prb-prediction/README.md
sample-rapp-generator/rapp-slice-prb-prediction/src/data.py
sample-rapp-generator/rapp-slice-prb-prediction/src/main.py [new file with mode: 0644]
sample-rapp-generator/rapp-slice-prb-prediction/src/requirements.txt [new file with mode: 0644]