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Design and Optimisation of Distributed Data Processing Platform Driven by Digital Economy

In: Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025)

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  • Sinian Chen

    (Simon Kuznets Kharkiv National University of Economics, School of economics)

Abstract

This research designs a microservices-based distributed data processing platform with a fourtier architecture for flexible scaling. It incorporates unified hashing for data slicing and dynamic load balancing for optimized operation. To address performance bottlenecks, the platform uses multi-level caching, separate read-write processing, and message queue sharding. Test results confirm the platform outperforms similar products in response speed, processing capacity, and stability, making it well-suited for large-scale data processing in the digital economy.

Suggested Citation

  • Sinian Chen, 2025. "Design and Optimisation of Distributed Data Processing Platform Driven by Digital Economy," Advances in Economics, Business and Management Research, in: Meilin Zhang & Au Yong Hui Nee & Khurram Shehzad & Sameer Kumar & Ehsan Javanmardi (ed.), Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025), pages 184-190, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-724-3_18
    DOI: 10.2991/978-94-6463-724-3_18
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