Multi-chain and data-chains partitioning algorithm in intelligent manufacturing CPS

Author:

Li Suisheng,Xiao Hong,Qiao Jingwei

Abstract

AbstractThis paper proposes a new algorithm for the blockchain system based on multi-chain storage for CPS under edge cloud computing, in which the nodes of the system are divided according to the relationship of communication tightness.The experimental results show that the algorithm based on the multi-chain storage structure for nodes divided can reduce the data synchronization time and space, and improve the expansion ability of the system. Besides, the data in the system can be isolated from each other with the multi-chain structure, thus preventing the leakage of sensitive data and improving the information security of the system.

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference26 articles.

1. Xu L, Xu E, Li L (2018) Industry 4.0: state of the art and future trends. Int J Prod Res 56(8):2941–2962. https://doi.org/10.1080/00207543.2018.1444806.

2. Saldivar A, Li Y, Chen W, Zhan Z, Zhang J, Chen L (2015) Industry 4.0 with cyber-physical integration: A design and manufacture perspective In: 2015 21st International Conference on Automation and Computing (ICAC), 1–6.

3. Abe R, Watanabe H, Ohashi S, Fujimura S, Nakadaira A (2018) Storage protocol for securing blockchain transparency:577–581.

4. Chen Y (2016) Industrial information integration—a literature review 2006–2015. J Ind Inf Integr 2:30–64.

5. Lee J, Azamfar M, Singh J (2019) A blockchain enabled cyber-physical system architecture for industry 4.0 manufacturing systems. Manuf Lett 20:34–39.

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