Adaptive Stochastic Fault Tolerance for Self-Healing P2P Networks

Abstract

In the complex domain of reliable and flexible distributed systems, the challenging issue of Byzantine fault resilience is pervasive, particularly within the intricate framework of Peer-to-Peer (P2P) networks. The 'Adaptive Stochastic Fault Tolerance for Self-Healing P2P Networks' proposes a novel approach to self-healing in distributed peer-to-peer (P2P) systems. It combines ideas from stochastic Byzantine fault tolerance models with adaptive resilience strategies to detect and recover from failures within these complex networks by using probabilistic modeling. This allows P2P systems to adjust their resilience measures in real-time, effectively shielding themselves from unforeseen faults. Furthermore, the research provides extensive experimentation and empirical validation to demonstrate the effectiveness of the proposed approach.