摘要
随着信息技术与制造业的深度融合,制造交易网络化成为必然趋势。云制造服务可以实现不受地理空间限制的跨供应商交易,但在交易过程中,存在交易双方的信任难以保障和隐私泄露等问题。为了解决以上问题,提出一种基于双链模式的云制造服务平台架构,将用户数据与交易数据分链存储,并采用实用拜占庭容错(PBFT,practical Byzantine fault tolerance)共识算法解决区块间的数据同步问题。但传统PBFT共识算法在存储和共识效率上存在瓶颈,不适合应用于大规模的制造平台上,因此进一步对PBFT共识算法展开研究,提出结合EigenTrust模型和服务质量(QoS, quality of service)对PBFT共识算法进行改进,优化共识集群的选举过程和一致性协议流程,然后给出制造资源寻租和匹配步骤。仿真实验表明,该研究有效提高了PBFT共识节点的可靠性,提升了平台的运行效率和区块共识速度,节省了数据存储空间。
With the deep integration of information technology and manufacturing, the networking of manufacturing transactions has become an inevitable trend. Cloud manufacturing services can realize cross-supplier transactions that are not limited by geographical space, but in the process of transaction, there are problems such as difficulty in guaranteeing the trust of both parties and leakage of privacy. In order to solve the above problems, a cloud manufacturing service platform architecture based on a dual-chain model was proposed, which stores user data and transaction data in separate chains, and adopts a practical Byzantine fault tolerance(PBFT) consensus algorithm to solve the problem of data synchronization between blocks. However, traditional PBFT consensus algorithm has bottlenecks in storage and consensus efficiency, and is not suitable for large-scale manufacturing platforms. Therefore, further research on the PBFT consensus algorithm was carried out. The election process was optimized and the consensus protocol process of the consensus cluster was improved by combining the EigenTrust model and the quality of service(QoS), and then give the manufacturing resource rent-seeking and matching steps. Analysis and simulation experiments show that this research effectively improves the reliability of PBFT consensus nodes, improves the operating efficiency of the platform and the speed of block consensus, and saves data storage space.
作者
蒋伟进
周文颖
李恩
罗田甜
杨莹
JIANG Weijin;ZHOU Wenying;LI En;LUO Tiantian;YANG Ying(School of Computer Science,Hunan University of Technology and Business,Changsha 410205,China;School of Computer Science and Engineering,Hunan University of Information Technology,Changsha 410205,China;Key Laboratory of Hunan Province for New Retail Virtual Reality Technology,Changsha 410205,China)
出处
《物联网学报》
2023年第1期159-173,共15页
Chinese Journal on Internet of Things
基金
国家自然科学基金资助项目(No.61772196)
湖南省自然科学基金资助项目(No.2020JJ4249)
湖南省教育厅科学研究项目(No.21A0374)
湖南省研究生科研创新项目(No.CX20221178)。
关键词
区块链
云制造服务
PBFT
双链模式
服务质量
block chain
cloud manufacturing service
practical Byzantine fault-tolerant
dual-chain model
quality of service
