Blockchain storage optimization model based on remainder system

Weixing Wang; Guangxia Xu; Yu Wang; Liuqin Ye

doi:10.1117/12.3011240

2 November 2023 Blockchain storage optimization model based on remainder system

Weixing Wang, Guangxia Xu, Yu Wang, Liuqin Ye

Proceedings Volume 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023); 129190P (2023) https://doi.org/10.1117/12.3011240
Event: 3rd International Conference on Electronic Materials and Information Engineering (EMIE 2023), 2023, Guangzhou,, China

Abstract

Storage scalability has become one of the bottlenecks of blockchain development. This paper proposes a blockchain storage scaling model based on redundant residual system (RRNS). The model divides the blockchain into high security blocks and low security blocks, and adopts different storage strategies for them. Among them, low security blocks are stored in the form of whole network storage (all nodes need to be saved), and high security blocks are partitioned by RRNS based segmentation algorithm and stored in a distributed form. In addition, the redundant residue system(RRNS)is used to detect and correct errors to prevent malicious node attacks, thereby improving data stability and integrity. The experimental results and security analysis show that the proposed model not only has security and fault tolerance, but also guarantees the integrity of data, effectively reduces the storage consumption of nodes, and enhances the storage of the blockchain system Scalability.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weixing Wang, Guangxia Xu, Yu Wang, and Liuqin Ye "Blockchain storage optimization model based on remainder system", Proc. SPIE 12919, International Conference on Electronic Materials and Information Engineering (EMIE 2023), 129190P (2 November 2023); https://doi.org/10.1117/12.3011240

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