Worker Resource Characterization under Dynamic Usage in Multi-Access Edge Computing

Source code and Data of the best experiments ever

Dataset generation:

Controller_Node.ipynb and time_tracker.py run on Controller node

Worker_Node.ipynb and usage.py run on Worker node

Datasets:

RPi2_600: contains dataset related to the Low Raspberry Pi device

RPi4_1000: contains dataset related to the Mid Raspberry Pi device

RPi8_1500: contains dataset related to the High Raspberry Pi device

RCoin: contains data required to calculate RCoin and RCoinP values

QOS: contains data collected from the Controller node when running benchmark

Usage: contains data collected from the Worker node when running benchmark

Data Visualizaiton and Experiments:

Data_merge_plot.ipynb for data visualization

cluster.py for running experiments on data and obtaining results