Research on Self-Adaptive Consensus Method Based on Blockchain
Shuai Zhang, Lin Ni, Wenjia Xie, Guopeng Li, Hui Sun · 2022
The blockchain is an emerging and hot field in recent years, and one of the core is how to choose a suitable consensus mechanism to reach a consensus reliably and quickly. Each consensus mechanism has its advantages and disadvantages. Aiming at the problem that one consensus mechanism in the current blockchain cannot meet a variety of application scenarios and user needs, this paper proposes a self-adaptive consensus method. First, this paper analyzes the deficiencies of the existing consensus algorithm Raft and proposes some improvements. Then this paper combines multiple consensus algorithms to provide a self-adaptive consensus method. This method can dynamically select the corresponding consensus algorithm according to changes in the application scenarios and user needs, so as to ensure that the consensus process is efficient and reliable.