Journal of Engineering, Project, and Production Management, 2026, 16(2), 2025-172
Efficient Management Technology of Big Data in Distributed Storage Economy Management Field Using Erasure Code
Lecturer, School of Economics and Management, Zhengzhou Normal University, Zhengzhou, 450044, China, E-mail: liuxin199010@outlook.com
Project Management
Received August 20, 2025; revised October 9, 2025; accepted October 11, 2025
Available online March 7, 2026
Abstract: With the growth of big data, the application of distributed storage is becoming increasingly widespread. Traditional Erasure Codes (ECs) are computationally intensive in distributed storage systems and inefficient for managing large-scale economic data. To address this issue, a Reed-Solomon code storage method based on the Reed-Muller transform is proposed. The encoding and decoding algorithm of Reed-Solomon (RS) codes is verified through the Reed-Muller (RM) transform, and a cyclic shift is added to the Reed-Muller transform to reduce the computational complexity of ECs. The distributed storage file system is expanded to ensure smooth operation across the system's modules. The experimental results showed that in the extended file system, the proposed Reed-Muller Reed-Solomon code achieved fast encoding and decoding speeds across different numbers of data blocks, with maximum encoding and decoding speeds of 981MB/s and 915MB/s, respectively. The EC proposed by the research was not affected by file size, and its encoding and decoding speed increased with increased file size. Moreover, the Reed-Muller and Reed-Solomon codes can efficiently handle economic data with lower memory usage than other ECs. Overall, the Reed-Muller Reed-Solomon code proposed by the research has good performance and can efficiently handle big data.
Keywords: Erasure code (EC), distributed storage, data management, reed-solomon (RS) code, reed-muller (RM) transformation.
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Citation: Liu, X. (2026). Efficient Management Technology of Big Data in Distributed Storage Economy Management Field Using Erasure Code. Journal of Engineering, Project, and Production Management, 16(2), 2025-172.
