MS-PBFT: A Master-Slave Multichain Consensus Mechanism Based on Pre-Broadcast and Threshold Signatures

This paper addresses scalability limitations in blockchain systems for supporting multi-asset transactions by proposing a master-slave multi-chain architecture.The underlying consensus protocol, called MS-PBFT, utilizes pre-broadcast and threshold signatures to reduce communication overhead.Experimental results demonstrate that MS-PBFT achieves substantially higher transaction throughput and lower latency compared to PBFT consensus, showcasing efficiency gains.This work provides a useful blockchain structure and consensus approach to enable classification of digital assets and concurrent processing across chains.

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Publication Details

Journal
Tehnicki vjesnik - Technical Gazette
Published
2024-10-31
DOI
https://doi.org/10.17559/tv-20231119001117
Citations
1
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.35

Funders

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article

MS-PBFT: A Master-Slave Multichain Consensus Mechanism Based on Pre-Broadcast and Threshold Signatures

1 citations
Tehnicki vjesnik - Technical Gazette
Distributed systems and fault tolerance
0.35
article

MS-PBFT: A Master-Slave Multichain Consensus Mechanism Based on Pre-Broadcast and Threshold Signatures

article en
1 citations

Abstract

This paper addresses scalability limitations in blockchain systems for supporting multi-asset transactions by proposing a master-slave multi-chain architecture.The underlying consensus protocol, called MS-PBFT, utilizes pre-broadcast and threshold signatures to reduce communication overhead.Experimental results demonstrate that MS-PBFT achieves substantially higher transaction throughput and lower latency compared to PBFT consensus, showcasing efficiency gains.This work provides a useful blockchain structure and consensus approach to enable classification of digital assets and concurrent processing across chains.

Tehnicki vjesnik - Technical GazetteVol. 31(6)
Central University of Finance and Economics (CN), Hangzhou Vocational and Technical College (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 37%
Distributed systems and fault tolerance
0.35
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