Investigating the impact of unstable network connections on the cluster running a consensus algorithm

Abstract

This study explores the effects of unstable network connections on the operational efficiency of a computing cluster executing a consensus algorithm. Consensus algorithms are critical for maintaining the integrity and consistency of distributed systems, particularly in blockchain technologies and distributed databases. However, the reliability of these systems is often challenged by network instability, which can lead to delays, decreased throughput, and, in severe cases, loss of consensus. Research employs simulation experiments to quantify the impact of network disruptions such as latency variability on cluster running consensus algorithm. By systematically varying network conditions and observing the resultant effects on a cluster running a representative consensus algorithm, we identify critical thresholds of instability that significantly impair system performance. The findings contribute to a deeper understanding of the dynamics between network stability and distributed system, offering valuable insights for developers and engineers tasked with designing and maintaining robust distributed systems in the face of network unreliability.