利用共识算法的改进提高区块链的计算可扩展性

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Sohail Jabbar, Zain Ul Abideen, S. Khalid, Awais Ahmad, Umar Raza, Sheeraz Akram
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引用次数: 0

摘要

在区块链网络中容纳越来越多的用户已经成为讨论的前沿。显然,在不损害区块链数据安全的前提下,设计一种合适的方法来提高区块链的可扩展性特性是必不可少的。在本文中,我们提出了一种共识方法,该方法有可能提高私有区块链的可扩展性。首先,系统减轻了内核调度器引起的延迟,确保应用程序始终能够访问可用的内核进行事务处理。其次,委员会制度减轻了网络的工作量,防止虚假交易垄断网络资源,阻碍网络效率。通过考虑具有CPU隔离和应用程序以不同优先级坚持内核2的各种事务场景,进行了广泛的实验。根据每秒执行的交易数量,将提议的系统与不同类型区块链中工作的不同现有共识机制进行比较。并对所采用的研究机制进行了批判性分析。总体而言,所提出的系统在区块链网络可扩展性的各个参数上优于其他系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing computational scalability in Blockchain by leveraging improvement in consensus algorithm
Accommodating an increasing number of users in the Blockchain network has moved to the forefront of discussion. It is also evident that without jeopardizing the data security in Blockchain, it is of indispensable need to devise an appropriate method for improving the scalability trait of Blockchain. In this article, we have proposed a consensus method that is having the potential to improve the scalability of the Private Blockchain. The system, at first, mitigates latency arising from kernel schedulers, ensuring that the application consistently has access to an available core for transaction processing. Secondly, the committee system alleviates the network's workload, preventing spurious transactions from monopolizing network resources and impeding its efficiency. Extensive experimentation is made by considering various scenarios of transaction with CPU isolation and application sticking to core 2 with varied priority. Based on the number of transactions performed per second, the proposed system is compared with different existing consensus mechanisms working in various types of Blockchains. Also, a detailed discussion is presented on the critical analysis of the adopted research mechanism. Overall, the proposed systems outperforms to other systems in various parameters of blockchain network scalability.
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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