Nicaea: A Byzantine Fault Tolerant Consensus Under Unpredictable Message Delivery Failures for Parallel and Distributed Computing

Byzantine fault-tolerant (BFT) consensus is a critical problem in parallel and distributed computing systems, particularly with potential adversaries. Most prior work on BFT consensus assumes reliable message delivery and tolerates arbitrary failures of up to <inline-formula><tex-math notation="LaTeX">$\frac{n}{3}$</tex-math></inline-formula> nodes out of <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula> total nodes. However, many systems face unpredictable message delivery failures. This paper investigates the impact of unpredictable message delivery failures on the BFT consensus problem. We propose Nicaea, a novel protocol enabling consensus among loyal nodes when the number of Byzantine nodes is below a new threshold, given by: <inline-formula><tex-math notation="LaTeX">$\frac{\left(2-\rho\right)\left(1-\rho\right)^{2n-2}-1}{\left(2-\rho\right) \left(1-\rho\right)^{2n-2}+1}n$</tex-math></inline-formula>, where <inline-formula><tex-math notation="LaTeX">$\rho$</tex-math></inline-formula> denotes the message failure rate. Theoretical proofs and experimental results validate Nicaea's Byzantine resilience. Our findings reveal a fundamental trade-off: as message delivery instability increases, a system's tolerance to Byzantine failures decreases. The well-known <inline-formula><tex-math notation="LaTeX">$\frac{n}{3}$</tex-math></inline-formula> threshold under reliable message delivery is a special case of our generalized threshold when <inline-formula><tex-math notation="LaTeX">$\rho=0$</tex-math></inline-formula>. To the best of our knowledge, this work presents the first quantitative characterization of unpredictable message delivery failures’ impact on Byzantine fault tolerance in parallel and distributed computing.

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Publication Details

Journal
IEEE Transactions on Computers
Published
2024-11-27
DOI
https://doi.org/10.1109/tc.2024.3506856
Citations
1
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.35
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article

Nicaea: A Byzantine Fault Tolerant Consensus Under Unpredictable Message Delivery Failures for Parallel and Distributed Computing

Yifei Zou, Dongxiao Yu, Rajiv Ranjan, Yanqiang Zhang et al.
1 citations
IEEE Transactions on Computers
Distributed systems and fault tolerance
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article

Nicaea: A Byzantine Fault Tolerant Consensus Under Unpredictable Message Delivery Failures for Parallel and Distributed Computing

Yifei Zou, Dongxiao Yu, Rajiv Ranjan, Yanqiang Zhang, Guanlin Jing, Xiuzhen Cheng, Zhiguang Shan, Minghui Xu
article en
1 citations

Abstract

Byzantine fault-tolerant (BFT) consensus is a critical problem in parallel and distributed computing systems, particularly with potential adversaries. Most prior work on BFT consensus assumes reliable message delivery and tolerates arbitrary failures of up to <inline-formula><tex-math notation="LaTeX">$\frac{n}{3}$</tex-math></inline-formula> nodes out of <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula> total nodes. However, many systems face unpredictable message delivery failures. This paper investigates the impact of unpredictable message delivery failures on the BFT consensus problem. We propose Nicaea, a novel protocol enabling consensus among loyal nodes when the number of Byzantine nodes is below a new threshold, given by: <inline-formula><tex-math notation="LaTeX">$\frac{\left(2-\rho\right)\left(1-\rho\right)^{2n-2}-1}{\left(2-\rho\right) \left(1-\rho\right)^{2n-2}+1}n$</tex-math></inline-formula>, where <inline-formula><tex-math notation="LaTeX">$\rho$</tex-math></inline-formula> denotes the message failure rate. Theoretical proofs and experimental results validate Nicaea's Byzantine resilience. Our findings reveal a fundamental trade-off: as message delivery instability increases, a system's tolerance to Byzantine failures decreases. The well-known <inline-formula><tex-math notation="LaTeX">$\frac{n}{3}$</tex-math></inline-formula> threshold under reliable message delivery is a special case of our generalized threshold when <inline-formula><tex-math notation="LaTeX">$\rho=0$</tex-math></inline-formula>. To the best of our knowledge, this work presents the first quantitative characterization of unpredictable message delivery failures’ impact on Byzantine fault tolerance in parallel and distributed computing.

IEEE Transactions on ComputersVol. 74(3)
Shandong University (CN), China Electronic Information Industry Development (CN), University of Newcastle Australia (AU), Newcastle University (GB)
Openalex Percentile: Top 36%
Distributed systems and fault tolerance
0.35
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