@inproceedings{47557b19b45c43b8b49089c6d64bce26,
title = "PBRaft: A Scalable and Workload-Adaptive CFT Consensus Protocol for Permissioned Blockchain",
abstract = "As governments{\textquoteright} credit information platforms increasingly adopt permissioned blockchains, scalability requirements for permissioned blockchains have grown. Permissioned blockchains like Hyperledger Fabric and FISCO BCOS typically rely on crash fault tolerance (CFT) protocols such as Raft, due to their strict access controls. However, Raft faces scalability and replication challenges in permissioned environments, particularly with the resource-limited leader and a fixed replication model that struggles with fluctuating workloads. To address these, we propose PBRaft, a scalable, workload-adaptive variant of Raft. PBRaft improves scalability by alleviating the leader bottleneck and introduces a dynamic replication method to handle workload changes. Our implementation of PBRaft shows up to 25× higher throughput than Raft in extensive experiments.",
keywords = "BFT, blockchain, consensus",
author = "Xing Tong and Wenyu Zhang and Zhao Zhang and Bin Yang and Cheqing Jin",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 31st International Conference on Database Systems for Advanced Applications, DASFAA 2026 ; Conference date: 27-04-2026 Through 30-04-2026",
year = "2026",
doi = "10.1007/978-981-92-0378-9\_43",
language = "英语",
isbn = "9789819203772",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "655--666",
editor = "Hyungsoo Jung and Tianzheng Wang and Masashi Toyoda and Hyuk-Yoon Kwon and Jae-woong Lee",
booktitle = "Database Systems for Advanced Applications - 31st International Conference, DASFAA 2026, Proceedings",
address = "德国",
}