A 9-dimensional Analysis of GossipSub over the XRP Ledger Consensus Protocol

This work shows a 9-dimensional analysis of the behavior and performance of Gossipsub according to the parameterization of the mesh. GossipSub is the state-of-the-art framework for safe and fast message dissemination on blockchains. This study focuses on its application in the quorum-based consensus of the XRP Ledger. Using data science techniques, we cluster sets of parameters, identify correlations between dimensions, and develop a decision tree for informed parameter selection. Contributions include demonstrating the adaptability of GossipSub for alternative consensus models, analyzing how parameters impact network performance and behavior, and providing a method for parameterization to meet specific network requirements.