Shannon Tokenomics Static Testing

This repository contains preliminary tests for the Shannon tokenomics.

Getting Started

Environment Setup (One Time)

    make env_create
    $(make env_source)
    make pip_install

Environment Usage (Every Time)

    $(make env_source)
    # If new dependencies were added
    make pip_freeze

Source Data

The data used to run this models can be gathered from POKTscan.

Currently only the Chains data is required, with can be obtained here by downloading the Performance table. A sample of this data is provided in the ./data folder.

Experimental Notebooks

• Tokenomics_Compare : This notebook makes a simple comparison (a single scenario) of two proposed models.
• Random_Scenarios : This notebook tests many random network scenarios (services, relays and compute costs) and relays/nodes distributions over services on all the proposed models and then compares them head to head using several graphics.

[WIP] How to make TLM's avoid being gameable?

1. Distribute rewards evenly.

   1. How? All the POKT to be minted in a session should be evenly distributed evenly amongst all the nodes in that session.
   2. Why? To avoid gaming the system and pointing at your own node
   3. Issues? Free loader nodes.
   4. How do we punish free loader nodes? Will require implicit QoS.

2. Delaying CUTTM (discuss more later)

   1. How? The delay mechanism for updating RTTM for each service.
   2. Why?