This is the runnable Python project for the paper 'Edge Computing and Caching Optimization based on PPO for Task Offloading in RSU-assisted IoV'.
https://ieeexplore.ieee.org/document/10539436
To run the project, run the .py files in './run_this'.
'run_object.py' generates the results of the main objects.
'run_different_capacity.py' generates the comparison between different cache capacities.
'run_different_deadline.py' generates the comparison between different task deadlines.
'run_different_algo1.py' generates the comparison between our scheme and the LFU and LRU algorithms.
'run_different_algo2.py' generates the comparison between our scheme and the optim caching scheme.
Note: Only run one py file at a time.
'./envs' contains environment settings, parameter configurations and the data struct of the project.
'./methods' contains the discrete PPO algorithm.
'./run_this/data' contains the stored data of the project.
'./run_this/run_methods_and_outputs' contains the execution function of runnable files.
'./run_this/run_methods_and_outputs/outputs' contains the outputs of runnable files.
numpy 1.21.4
Note: Important, inconsistent numpy versions may lead to runtime errors.
Python 3.9.6
@author: Mason Lynn