Xiaowei Wang, Haiyang Zhang, Jiasheng Zhang, Yingkai Ge, Kexin Cui, Zifu Peng, Zhengyi Li, Lihua Wang*
CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1295-1311, 2025, DOI:10.32604/cmc.2024.058559
- 03 January 2025
Abstract In response to the challenges presented by the unreliable identity of the master node, high communication overhead, and limited network support size within the Practical Byzantine Fault-Tolerant (PBFT) algorithm for consortium chains, we propose an improved PBFT algorithm based on XGBoost grouping called XG-PBFT in this paper. XG-PBFT constructs a dataset by training important parameters that affect node performance, which are used as classification indexes for nodes. The XGBoost algorithm then is employed to train the dataset, and nodes joining the system will be grouped according to the trained grouping model. Among them, the nodes… More >
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