Abstract
Blockchain technology has recently received widespread attention from academia and industry, and its application scenarios have expanded from digital currency to all walks of life. However, as a crucial component of the blockchain, the poor performance and scalability of the current Byzantine Fault Tolerance (BFT) consensus algorithms severely limit the development of the blockchain. To cope with this dilemma, we propose Highway, a parallel optimized high-performance BFT consensus algorithm that supports decentralized management. Our algorithm is a state machine replication protocol based on a partial synchrony model. Our approach has an 18\(\times \)–50\(\times \) throughput improvement over HotStuff and can reach millions of throughput at 1000 Mbps networks.
This work was funded by grants from the National Key Research and Development Program of China (Grant No. 2021YFB2700300).
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Luo, Z., Chen, C., Qiu, W. (2023). Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13656. Springer, Cham. https://doi.org/10.1007/978-3-031-20099-1_3
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