Chinese Journal on Internet of Things ›› 2023, Vol. 7 ›› Issue (1): 159-173.doi: 10.11959/j.issn.2096-3750.2023.00305

• Theory and Technology • Previous Articles    

Research on cloud manufacturing service architecture and consensus algorithm based on blockchain technology

Weijin JIANG1,2,3, Wenying ZHOU1, En LI1, Tiantian LUO1, Ying YANG1   

  1. 1 School of Computer Science, Hunan University of Technology and Business, Changsha 410205, China
    2 School of Computer Science and Engineering, Hunan University of Information Technology, Changsha 410205, China
    3 Key Laboratory of Hunan Province for New Retail Virtual Reality Technology, Changsha 410205, China
  • Revised:2022-11-20 Online:2023-03-30 Published:2023-03-01
  • Supported by:
    The National Natural Science Foundation of China(61772196);The Natural Science Foundation of Hunan Province(2020JJ4249);The Key Scientific Research Project of Education Department of Hunan Province(21A0374);The Hunan Provincial Innovation Foundation for Postgraduate(CX20221178)

Abstract:

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.

Key words: block chain, cloud manufacturing service, practical Byzantine fault-tolerant, dual-chain model, quality of service

CLC Number: 

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