There is more comprehensive machinations simulations, which includes both mining and torage rewards: https://github.com/functionland/simulation/blob/2a33dc9a07f47a3ae2b337c42587f5fec19e6d9d/Simulation%20FULA%20-%20final%20version.mp4
Simulation
This is Python simulation for mining part. There is a oublished version for the Python version here: https://fx.land/simulation
Fula Blockchain Simulation
Motivation
To develop a simulation model for the Mining rewards portion of the Functionland project.
Basic Concept:
A user would assess their current position financially and then make a decision on whether or not to purchase the Functionland box. If they choose to purchase the box, then we analyze the trade potential cost difference (and earnings!) that a user would experience.
Some key parameters being utilized:
- Time (defaults to 1 year)
- Cloud savings (Is derived from the amount not spent on the cloud storage solutions)
- Hardware buy in cost (A one time cost associated with getting the mining device)
- Power consumption cost (An additional cost, though not much, per month)
- Tokens earned per end user (The reward earned by mining per user)
- Amount depends on the number of miners in the system
- Example: 50,000 miners a month and the reward is 200 tokens a month
These will then influence the modeling the rewards (money earned) from mining the token over the course of a year.
Key Insights
- We noticed on the default settings (after we had set miners to default to 1100) that the token rewards at the end of the year vs miners starts to cross
after 1 year.
- This was different from the relatively low margin of tokens mined at 10,000 miners and could be a good indicator of when people would want to join the network.
Development
Requirements:
- Python >= 3.10
- A virtual environment
- Currently using VirtualFish
- Jupyter Labs or Jupyter notebook
- Download or use an extension inside of VScode
ipykernel
Project Execution
To run the Jupyter Notebook (and eventually python script files):
- Enable your virtual environment
pip install requirements.txt
Then you will need to add the kernel to the notebook if you want the virtual environment to work properly:
python -m ipykernel install --user --name=functionland
Do note that the environment name of functionland can be replaced with
anything else, just remember to stay consistent otherwise errors may arise.
Once we have the script files, those can be executed with the python run time without the need to load in that extra kernel (woo!).
Running the Python Simulation
This was developed with Python 3.8 as the version so the way to run it on the CLI should follow:
python3 src/simulations/__init__.py
If you use VScode (or similar) it should be a very similar execution step once
you are able to locate main.py or the __init__.py module.
Progress:
- Setup the initial system parameters
- Show the token price at $0.04
- Show the rewards for those who mined over the course of year as the token value increases.
- Show the break even point (explicitly)
- Build the models in Python scripts
- Integrate with dashboard service
- Build out the UI of the dashboard
Issues / Bugs:
At this time, no known bugs are present.