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

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_merge_plot.ipynb for data visualization

cluster.py for running experiments on data and obtaining results

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
Cluster_util.py		Cluster_util.py
Controller_Node.ipynb		Controller_Node.ipynb
Data_Merge_Plot.ipynb		Data_Merge_Plot.ipynb
README.md		README.md
Worker_Node.ipynb		Worker_Node.ipynb
cluster.py		cluster.py
time_tracker.py		time_tracker.py
usage.py		usage.py