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DRL_based_SFC_Embedding

DRL-based algorithms for solving SFC Embedding Problems

Implemented Algorithms

A2C-based SFC embedding

- Apply Advantage Actor-Critic DRL algorithm to solve the SFC embedding problem
- Run "AC_SFC_Main_01.05.py" for training/testing the A2C RL-agent

DQN-based SFC embedding

- Apply DQN RL algorithm to solve the SFC embedding problem
- Run "DQ_SFC_Main_01.08.py" for training the DQN RL-agent
- Run "test_model_random_req_order_v01.08.py" for testing the DQN RL-agent

Dataset

  • Using the Dataset created by Huy Duong in the Ciena SOF-WP1 Project

  • Notes

    • The "reordered_traffic_500000_slots_1_con.tra" file cannot be committed to GitHub due to larger than 100 MB of size. This file will be uploaded to another cloud repo.

TODO

  • Re-organize each algorithm's source code into a separated folder

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