Nomos Node Simulations

This repository contains a suite of scripts and configurations for running and analyzing simulations of nomos nodes.

Prerequisites

1. Nomos Node Simulation App

Before running simulations, ensure the nomos-node/simulations application is accessible from the $PATH:

• Clone the project:

git clone git@github.com:logos-co/nomos-node.git

• Build the project using Crago:

crago build -p simulations --release

• Add the resulting release directory to $PATH:

export PATH=$PATH:<path to nomos-node>/target/release

2. Python Dependencies

The data conversion and normalization processes make use of the Pandas Python package:

pip install pandas

Network Overlays

The simulation application supports two distinct network topologies to link nodes:

• Tree Overlay: Constructs a full binary tree overlay, mirroring the connections between actual Nomos nodes.
• Branch Overlay: Produces a single full-length branch of the binary tree overlay. This overlay offers a simulation of a more extensive network (though with fewer nodes) and is intended to approximate the latencies of a complete binary tree. More details can be found on Notion.

Test Cases

The primary objective of the simulation app is to replicate a large-scale real-world network environment while running the Carnot consensus engine.

Committee Sizes

The simulation configuration can specify varying numbers of committees and nodes within them. To obtain these values, as recommended in the Carnot spec, refer to the committee_sizes.py script available at nomos-specs

Sample Test Cases

This repository includes a set of sample test cases under scripts/test_cases.csv. The committee_sizes.py script from nomos-specs was used to generate these test cases.

Configuration

The simulation application operates with JSON configuration files. The scripts directory offers helper scripts for creating a range of config variations:

build_config.py

Generates a single configuration based on the template JSON file located at scripts/config_builder/template.json.

Usage:

python build_config.py <tree/branch> <number of committees> <total nodes> <config name> <optional max_view to simulate> <optional network variation defined in config_builder/network>

build_cases.py

Produces multiple config variations as defined in the provided test cases CSV file (see test_cases.csv for a reference).

Usage:

python build_cases.py test_cases.csv

Running the Simulation

Standalone Mode

Assuming the simulations binary is in your $PATH, run the simulation with your chosen config file:

simulations --input-settings <config_file.json> --stream type naive

Batch Mode with Multiple Configurations

To execute a series of simulations using different configuration files, utilize the run_configs.py script:

python run_configs.py <configs_dir>