SoRCS:具有角色、链和存储分离的可扩展区块链模型

IF 4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Bin Yu , Lei Chen , He Zhao , Zhiyu Ma , Haotian Cheng , Xiaoting Zhang , Liang Sun , Tong Zhou , Nianzu Sheng
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引用次数: 0

摘要

区块链技术的工业应用越来越广泛,但区块链的可扩展性仍然是大规模实际应用的主要挑战之一。许多区块链项目都引入了分离方案来解决可伸缩性问题。本文提出了一种综合分离方案SoRCS,将节点角色、链和数据存储分离。它充分利用了每个节点的资源,减少了节点的负载,提高了去中心化程度。已验证事务的排序、有序事务的执行、排序的确认和执行块在不同的子网中并发运行,以提高区块链的性能。基于区块共识的结果,我们提供了三个阶段的响应:记录、执行和确认。基于SoRCS架构,我们还实现了一个由1200个节点组成的原型系统来评估我们的分离方案。其峰值吞吐量为14.7 Ktps,延迟约为0.5 s。我们使用三相响应时间来避免更高的延迟问题,第一次响应时间约为0.15 s。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SoRCS: A scalable blockchain model with separation of role, chain and storage
The industrial use of blockchain technology is becoming more widespread, the scalability of blockchain is still one of the primary challenges in large-scale practical applications. Separation schemes are being introduced by many blockchain projects to solve their scalability problems. In this paper, we propose a comprehensive separation scheme SoRCS, which separates the node role, the chain, and the data storage. It makes full use of the resources of each node, reduces the load on the nodes, and improves the degree of decentralization. Ordering of verified transactions, execution of ordered transactions, confirmation of ordering and execution blocks run concurrently within different sub-networks to improve blockchain performance. Based on the results of the block consensus, we provide a three-phase response: documented, executed, and confirmed.
Based on the SoRCS architecture, we also implement a prototype system that consists of 1200 nodes to evaluate our separation schemes. Its peak throughput is 14.7 Ktps and its latency is around 0.5 s. We use the three-phase response time to avoid the issue of higher latency, and the first response time is around 0.15 s.
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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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