@inproceedings{5050a6b6ed244f789bda27dcbd4cd021,
title = "Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain",
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 × –50 × throughput improvement over HotStuff and can reach millions of throughput at 1000 Mbps networks.",
keywords = "Blockchain, Byzantine fault, Consensus",
author = "Zui Luo and Chang Chen and Wangjie Qiu",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022 ; Conference date: 02-12-2022 Through 04-12-2022",
year = "2023",
doi = "10.1007/978-3-031-20099-1\_3",
language = "英语",
isbn = "9783031200984",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "31--38",
editor = "Yuan Xu and Hongyang Yan and Huang Teng and Jun Cai and Jin Li",
booktitle = "Machine Learning for Cyber Security - 4th International Conference, ML4CS 2022, Proceedings",
address = "德国",
}