/Optimizing-Resoruce-Scaling-for-Network-Slicing-through-Attention-based-Forecasting

This project will build a deep learning-based forecasting model which leveraging an attention mechanism to forecast the future usage of Virtual network function instances' resources in network slices and then scale up and down the number of VNF instances based on the predicted usage

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Optimizing-Resoruce-Scaling-for-Network-Slicing-through-Attention-based-Forecasting

This project will build a deep learning-based forecasting model which leveraging an attention mechanism to forecast the future usage of Virtual network function instances' resources in network slices and then scale up and down the number of VNF instances based on the predicted usage If you want to use the source code for your research, please cite this paper:

C. -N. Nhu and M. Park, "Dynamic Network Slice Scaling Assisted by Attention-Based Prediction in 5G Core Network," in IEEE Access, vol. 10, pp. 72955-72972, 2022, doi: 10.1109/ACCESS.2022.3190640.