Improved Fast-Response Consensus Algorithm Based on HotStuff
Author:
Affiliation:
1. Guangzhou Institute of Software, Guangzhou 510006, China
2. School of Software Engineer, South China University of Technology, Guangzhou 511458, China
3. Guangzhou Caseeder Technology Co., Ltd., Guangzhou 511458, China
Abstract
Funder
Guangdong Province Key Research and Development Program, China
the Guangxi Science and Technology Plan Projects, China
Nansha District Digital Technology Application Demonstration Project
Publisher
MDPI AG
Link
https://www.mdpi.com/1424-8220/24/16/5417/pdf
Reference35 articles.
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2. Wang, G., and Nixon, M. (2023, January 24–26). SoK: Essentials of BFT Consensus for Blockchains. Proceedings of the 2023 Fifth International Conference on Blockchain Computing and Applications (BCCA), Kuwait, Kuwait.
3. Chang, Y.X., Wang, Q., Li, Q.L., and Ma, Y. (2023). Performance and Reliability Analysis for Practical Byzantine Fault Tolerance with Repairable Voting Nodes. arXiv.
4. Yu, J. (2023, January 27–30). Fault Independence in Blockchain. Proceedings of the 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S), Porto, Portugal.
5. Berger, C., Toumia, S.B., and Reiser, H.P. (2023, January 24–27). Scalable Performance Evaluation of Byzantine Fault-Tolerant Systems Using Network Simulation. Proceedings of the 2023 IEEE 28th Pacific Rim International Symposium on Dependable Computing (PRDC), Singapore.
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