InTime: Towards Performance Predictability In Byzantine Fault Tolerant Proof-of-Stake Consensus

Performance predictability, ensuring low latency variability, is crucial for the reliability and efficiency of blockchain consensus. Byzantine Fault Tolerant Proof-of-Stake (BFT-PoS) consensus aims to achieve stable transaction processing latency by scheduling block generation at consistent intervals. However, BFT-PoS's incentive mechanisms grant all transaction tips to the block proposer, which can be exploited by delaying proposals to gain extra Maximal Extractable Value (MEV) rewards, thus undermining performance predictability. Existing solutions impose penalties for delays but lack a standard for measuring the extra rewards from delays or fail in malicious environments. This paper introduces InTime, a novel approach to safeguard performance predictability in BFT-PoS by economically motivating timely block proposals. We first introduce the untimely MEV ratio , a reliable metric to measure the extra rewards gained from proposal delays, facilitating our countermeasures against deliberate delays. Furthermore, we propose the arrival rate incentive (ARI), aligning rewards with transaction arrival timing among nodes to reduce potential MEV manipulation. To make ARI robust against malicious behaviors, we establish a committee time witness (CTW) workflow to accurately gather and verify transaction arrival times. Extensive experiments demonstrate that InTime can effectively reduce latency variability by up to 95.9%.

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Publication Details

Journal
Proceedings of the ACM on Management of Data
Published
2025-02-10
DOI
https://doi.org/10.1145/3709740
Citations
3
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
4.46

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article

InTime: Towards Performance Predictability In Byzantine Fault Tolerant Proof-of-Stake Consensus

Zihuan Xu, Wangze Ni, Lei Chen, Weijie Sun
3 citations
Proceedings of the ACM on Management of Data
Distributed systems and fault tolerance
4.46
article

InTime: Towards Performance Predictability In Byzantine Fault Tolerant Proof-of-Stake Consensus

Zihuan Xu, Wangze Ni, Lei Chen, Weijie Sun
article en
3 citations

Abstract

Performance predictability, ensuring low latency variability, is crucial for the reliability and efficiency of blockchain consensus. Byzantine Fault Tolerant Proof-of-Stake (BFT-PoS) consensus aims to achieve stable transaction processing latency by scheduling block generation at consistent intervals. However, BFT-PoS's incentive mechanisms grant all transaction tips to the block proposer, which can be exploited by delaying proposals to gain extra Maximal Extractable Value (MEV) rewards, thus undermining performance predictability. Existing solutions impose penalties for delays but lack a standard for measuring the extra rewards from delays or fail in malicious environments. This paper introduces InTime, a novel approach to safeguard performance predictability in BFT-PoS by economically motivating timely block proposals. We first introduce the untimely MEV ratio , a reliable metric to measure the extra rewards gained from proposal delays, facilitating our countermeasures against deliberate delays. Furthermore, we propose the arrival rate incentive (ARI), aligning rewards with transaction arrival timing among nodes to reduce potential MEV manipulation. To make ARI robust against malicious behaviors, we establish a committee time witness (CTW) workflow to accurately gather and verify transaction arrival times. Extensive experiments demonstrate that InTime can effectively reduce latency variability by up to 95.9%.

Proceedings of the ACM on Management of DataVol. 3(1)
Hong Kong University of Science and Technology (HK), Zhejiang University (CN), University of Hong Kong (HK)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Distributed systems and fault tolerance
4.46
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