A Scalable Sharding Protocol Based on Cross-Shard Dynamic Transaction Confirmation for Alliance Chain in Intelligent Systems

IF 4.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Nigang Sun, Junlong Li, Yining Liu, Varsha Arya
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引用次数: 0

Abstract

Applying sharding protocol to address scalability challenges in alliance chain is popular. However, inevitable cross-shard transactions significantly hamper performance even at low ratios, negating scalability benefits when they dominate as shard scale grows. This article proposes a new sharding protocol suitable for alliance chain that reduces cross-shard transaction impact, improving system performance. It adopts a directed acyclic graph ledger, enabling parallel transaction processing, and employs dynamic transaction confirmation consensus for simplicity. The protocol's sharding process and node score mechanism can deter malicious behavior. Experiments show that compared with mainstream sharding protocols, the protocol performs better when affected by cross-shard transactions. Moreover, its throughput has shown improvement compared to high-performance protocols without cross-shard transactions. This solution suits systems requiring high throughput and reliability, maintaining a stable performance advantage even as cross-shard transactions increase to the usual maximum ratio.
基于智能系统联盟链跨分片动态交易确认的可扩展分片协议
应用分片协议来解决联盟链中的可扩展性挑战是很受欢迎的。然而,即使在低比率下,不可避免的跨分片事务也会严重影响性能,当它们在分片规模增长时占主导地位时,会抵消可扩展性的好处。本文提出了一种新的适合联盟链的分片协议,减少了跨分片交易的影响,提高了系统性能。它采用有向无环图分类帐,实现并行交易处理,并采用动态交易确认共识,简化了交易。协议的分片过程和节点评分机制可以阻止恶意行为。实验表明,与主流分片协议相比,该协议在受跨分片事务影响时性能更好。此外,与没有跨分片事务的高性能协议相比,它的吞吐量有所提高。此解决方案适合需要高吞吐量和高可靠性的系统,即使跨分片事务增加到通常的最大比率,也能保持稳定的性能优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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