Title: Design of intelligent financial sharing platform driven by consensus mechanism under mobile edge computing and accounting transformation

Authors: Qiang Li

Addresses: Henan Institute of Economics and Trade, Zhengzhou 450000, Henan, China

Abstract: The intelligent financial sharing platform in the online realm is capable of collecting, storing, processing, analysing and sharing financial data through the integration of AI and big data processing technologies. However, as data volume grows exponentially, the cost of financial data storage and processing increases, and the asset accounting and financial profit data sharing analysis structure in financial sharing platforms is inadequate. To address the issue of data security sharing in the intelligent financial digital sharing platform, this paper proposes a data-sharing framework based on blockchain and edge computing. Building upon this framework, a non-separable task distribution algorithm based on data sharing is developed, which employs multiple nodes for cooperative data storage, reducing the pressure on the central server for data storage and solving the problem of non-separable task distribution. Multiple sets of comparative experiments confirm the proposed scheme has good feasibility in improving algorithm performance and reducing energy consumption and latency.

Keywords: mobile edge computing; intelligent finance; data sharing; blockchain; non-separable task.

DOI: 10.1504/IJDMB.2024.139461

International Journal of Data Mining and Bioinformatics, 2024 Vol.28 No.3/4, pp.426 - 438

Received: 15 Mar 2023
Accepted: 08 Sep 2023
Published online: 02 Jul 2024 *

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