PartialGC: Proactive Block-level Page Migration for Superblock Management in Modern SSDs

1. Requirements

python 3.8 scikit-learn 1.1.1 pandas 1.4.2

2. Model

tree_model.py: The relevant code and parameters for the tree model.

Incremental_model.py: The relevant code and parameters for the incremental learning

3. Data

train_data.xlsx: The dataset for model training.

predict_data.xlsx: The dataset for model predicting.

4. Script

In SSDSim, we use Cython to call Python functions for model prediction and incremental learning.

trace_process.c: This function is used to collect data during trace runtime.

model_simulation.c: This code uses Cython to import a Python file as a external library during SSDSim runtime, enabling it to call the model for prediction.