C-CNPS:区块链分片网络模型及通信策略

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zhan Wen, Cheng Zhang, Wenzao Li, Yanhe Na, Dehao Ren
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引用次数: 0

摘要

区块链有效地解决了分布式网络架构中的信任和信息不对称问题;然而,它的去中心化极大地限制了性能。分片是增强区块链可扩展性和提高网络效率的可行解决方案。在此背景下,本文提出了一种基于坐标间隔距离的分片算法(SACID),基于坐标距离间隔,建立了区块链分片网络通信模型。该模型将区块链网络划分为多个分片,实现了信息的并行处理,增强了可扩展性。此外,引入了基于坐标的网络路径选择通信策略(CNPSC),以减轻分片间通信开销和一致性挑战,在保持安全性和去中心化的同时优化通信效率。进一步,本文将区块链P2P核心数据传输协议Gossip、Dijkstra算法以及新设计的CNPSC通信策略作为数据传输协议纳入区块链阴影网络通信模型中。实验分析评估了所提出的分片模型和CNPSC通信策略的鲁棒性和通信效率。结果表明,在提出的区块链分片网络模型中,Gossip、Dijkstra和CNPSC都表现出很强的鲁棒性。其中,提出的CNPSC实现了最高的通信效率和最佳的网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
C-CNPS: A Blockchain Sharding Network Model and Communication Strategy

Blockchain effectively addresses issues of trust and information asymmetry in distributed network architectures; however, its decentralization significantly constrains performance. Sharding is a viable solution to enhance blockchain scalability and improve network efficiency. In this context, this paper proposes a Sharding Algorithm Based on Coordinate Interval Distance(SACID), based on coordinate distance intervals, and develops a blockchain-sharded network communication model. This model partitions the blockchain network into multiple shards, enabling parallel information processing and enhancing scalability. Additionally, a Coordinate-based Network Path Selection Communication Strategy (CNPSC) is introduced to mitigate inter-shard communication overhead and consistency challenges, optimizing communication efficiency while maintaining security and decentralization. Furthermore, this paper incorporates the blockchain P2P core data transmission protocol Gossip, Dijkstra's algorithm, and the newly designed CNPSC communication strategy into the blockchain-shaded network communication model as data transmission protocols. Experimental analysis evaluates the robustness and communication efficiency of the proposed sharding model and CNPSC communication strategy. Results demonstrate that within the proposed blockchain-sharded network model, Gossip, Dijkstra, and CNPSC all exhibit strong robustness. Among them, the proposed CNPSC achieves the highest communication efficiency and delivers the best network performance.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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