Zebra: A cluster-aware blockchain consensus algorithm

• Published in: Journal of network and computer applications Vol. 232; p. 104003
• Main Authors: Wan, Ji, Hu, Kai, Li, Jie, Guo, Yichen, Su, Hao, Li, Shenzhang, Ye, Yafei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024
• Subjects: Blockchain; Consensus algorithm; Distributed systems; Threshold signature; Tree topology; Threshold signature; Tree topology; Distributed systems; Blockchain; Consensus algorithm
• ISSN: 1084-8045
• DOI: 10.1016/j.jnca.2024.104003

The Consensus algorithm is the core of the permissioned blockchain, it directly affects the performance and scalability of the system. Performance is limited by the computing power and network bandwidth of a single leader node. Most existing blockchain systems adopt mesh or star topology. Blockchain performance decreases rapidly as the number of nodes increases. To solve this problem, we first design the n-k cluster tree and corresponding generation algorithm, which supports rapid reconfiguration of nodes. Then we propose the Zebra consensus algorithm, which is a cluster tree-based consensus algorithm. Compared to the PBFT, it has higher throughput and supports more nodes under the same hardware conditions. However, the tree network topology enhances scalability while also increasing latency among nodes. To reduce transaction latency, we designed the Pipeline-Zebra consensus algorithm that further improves the performance of blockchain systems in a tree network topology through parallel message propagation and block validation. The message complexity of the algorithm is O(n). Experimental results show that the performance of the algorithm proposed in this paper can reach 2.25 times that of the PBFT algorithm, and it supports four times the number of nodes under the same hardware.