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Li Zhenyu, Ding Yong, Yi Chen, Liang Hai. A Blockchain Data Acceleration Exchange Method for Data Element Circulation[J]. Journal of Computer Research and Development, 2024, 61(10): 2554-2569. DOI: 10.7544/issn1000-1239.202440367
Citation: Li Zhenyu, Ding Yong, Yi Chen, Liang Hai. A Blockchain Data Acceleration Exchange Method for Data Element Circulation[J]. Journal of Computer Research and Development, 2024, 61(10): 2554-2569. DOI: 10.7544/issn1000-1239.202440367

A Blockchain Data Acceleration Exchange Method for Data Element Circulation

Funds: This work was supported by the National Key Research and Development Program of China (2023YFB3107301), the Guangxi Science and Technology Major Program (AA22068067), and the Innovation Project of Guangxi Graduate Education (YCBZ2024163).
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  • Author Bio:

    Li Zhenyu: born in 1992. PhD candidate. Student member of CCF. His main research interests include cyberspace security and network engineering

    Ding Yong: born in 1975. PhD, professor. Senior member of CCF. His main research interests include cryptography and blockchain

    Yi Chen: born in 1981. Master, professor, professor of engineering. His main research interest includes cyberspace security

    Liang Hai: born in 1982. Master, associate professor. His main research interests include cyberspace security and blockchain

  • Received Date: May 30, 2024
  • Revised Date: July 13, 2024
  • Available Online: September 13, 2024
  • With the advancement of the new technological revolution and industrial transformation, secure and reliable data circulation has become a pressing issue. To address this, data exchanges have begun leveraging blockchain technology to facilitate data circulation, thereby enhancing trust and regulatory capabilities during the process. However, blockchain technology still faces challenges in handling large-scale data element exchanges efficiently. To improve efficiency in the circulation of data elements via blockchain, we propose a blockchain data exchange acceleration method. Firstly, a dynamic location model for data circulation is introduced to aid data exchanges in managing the direction of data flows. Secondly, a data element aggregation upload method is proposed, enabling deep aggregation of data elements with specified circulation destinations, thus accelerating blockchain data exchange. Thirdly, an optional automatic deduplication download method is presented to address application issues encountered in blockchain-based data circulation. Finally, experimental results demonstrate that the proposed blockchain data exchange acceleration method, when combined with blockchain transaction packaging technologies, significantly enhances the efficiency of data element exchanges. Compared with the asynchronous data exchange method provided by existing blockchain frameworks, our method achieves approximately a 9.24 times improvement in data exchange performance.

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