Impact assessment of blockchain-based improved PBFT consensus mechanism for improving supply chain efficiency and security

块链 机制(生物学) 供应链 计算机科学 业务 计算机安全 物理 营销 量子力学
作者
Mei Zhao
出处
期刊:Intelligent Decision Technologies [IOS Press]
卷期号:19 (1): 225-237
标识
DOI:10.3233/idt-240619
摘要

In modern supply chain management, it is crucial to be able to track the flow of goods in real-time and maintain data integrity. Research focuses on the transparency, security, and efficiency improvements brought about by blockchain technology, and how these improvements can help address information asymmetry issues in supply chain management and improve overall operational efficiency. At the same time, the study explored the working principle of the practical Byzantine fault-tolerant consensus mechanism, proposed relevant improvement measures, and analyzed how these improvements can be effectively applied in the scenario of supply chain information sharing to improve the stability and efficiency of the overall system. The research results show that the overall latency of improved PBFT is maintained at the millisecond level, while the latency of traditional PBFT can reach several seconds or exceed 10 seconds. In terms of CPU resource consumption, the demand for improving PBFT only shows linear growth, while the demand for traditional PBFT increases sharply. In addition, improving PBFT also has significant advantages in communication costs. In an 8-node network, the communication volume of improved PBFT is only 11.27 KB, while traditional PBFT is 43.67 KB. In terms of throughput and latency performance, the improved PBFT can handle over 16000 requests per second in a 16 node network, significantly better than the traditional PBFT’s approximately 8000 requests. Meanwhile, at 64 nodes, the improved version has a latency of 301.7 milliseconds, much lower than the traditional version’s 510.2 milliseconds. These improvements demonstrate the advantages of improving PBFT in enhancing supply chain transparency, security, and efficiency, providing effective technical support for the digitization and intelligence of supply chain management. We hope that research can promote the digitization and intelligence of supply chain management, and facilitate the efficient operation and optimization of the supply chain.
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