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

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

A chapter in Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025), 2025, pp 184-190 from Springer

Abstract: 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.

Keywords: Distributed data processing; Microservice architecture; Performance optimisation; Digital economy; load balancing (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-724-3_18

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