Unraveling Responsiveness of Chained BFT Consensus with Network Delay
Yining Tang, Qihang Luo, Runchao Han, Jianyu Niu, Chen Feng, Yinqian, Zhang

TL;DR
This paper models and evaluates the responsiveness of chained BFT consensus protocols using a Markov Decision Process framework, revealing nuanced effects of responsiveness on protocol robustness and performance under various attack scenarios.
Contribution
It introduces a unified MDP-based framework for analyzing chained BFT protocols, providing new insights into attack strategies and the impact of responsiveness on protocol performance.
Findings
Responsiveness is not always beneficial for protocol performance.
Optimal attack strategies can be systematically derived using MDP analysis.
Experimental validation confirms theoretical insights across diverse scenarios.
Abstract
With the advancement of blockchain technology, chained Byzantine Fault Tolerant (BFT) protocols have been increasingly adopted in practical systems, making their performance a crucial aspect of the study. In this paper, we introduce a unified framework utilizing Markov Decision Processes (MDP) to model and assess the performance of three prominent chained BFT protocols. Our framework effectively captures complex adversarial behaviors, focusing on two key performance metrics: chain growth and commitment rate. We implement the optimal attack strategies obtained from MDP analysis on an existing evaluation platform for chained BFT protocols and conduct extensive experiments under various settings to validate our theoretical results. Through rigorous theoretical analysis and thorough practical experiments, we provide an in-depth evaluation of chained BFT protocols under diverse attack…
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Taxonomy
TopicsDistributed systems and fault tolerance · Modular Robots and Swarm Intelligence
