Dynamic sharding model and performance optimization method for consortium blockchain

Yan Wang

doi:10.1007/s11227-024-06870-8

2025-01-21

PRE

DOI：10.1007/s11227-024-06870-8

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摘要

En 中文

联盟链由于可控性、可监管性和可操作性等特点，已在金融、电子政务等领域得到广泛应用。然而，传统联盟链在吞吐量方面存在瓶颈。为解决这些瓶颈，本文提出了一种面向联盟链的动态分片模型及性能优化方法（DSPO-CB），该方法提供了一种新的分片架构，并通过深度Q网络（DQN）动态优化该架构。首先，该模型通过分类节点确保安全性，从而减少冗余并提高空间利用率。其次，该模型基于节点状态采用动态聚类方法提出分片结构，以降低跨分片交易的比例。最后，利用DQN动态优化分片与共识架构。实验表明，DSPO-CB相较于现有联盟链，吞吐量提升了33%，存储空间节省了高达78%。

Keyword:

Consortium blockchain

Dynamic sharding

Performance optimization

Reinforcement learning

期刊

Journal of Supercomputing

IF:

2.7

论文数:

1.2K

被引数:

1.0W

机构

dalian neusoft univ informat

学者数:

论文数: 8

被引数: 1

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