The Frontiers of Society, Science and Technology, 2024, 6(5); doi: 10.25236/FSST.2024.060507.
Sitong Chen, Yanbin Long
University of Science and Technology Liaoning, Anshan, China
With the progression of tax informatization, there has been a substantial surge in real-time data generated by tax systems across various levels. This necessitates a more robust system for real-time supervision and efficient data processing. However, the traditional centralized management and control system falls short in terms of timeliness and resource utilization when confronted with voluminous data. To address these challenges, this paper introduces a tax big data supervision system and method rooted in distributed real-time management and control. By implementing this distributed system in both superior and subordinate units, the proposed approach facilitates real-time data access, comparison calculations, and alarm notifications. Consequently, it enhances data processing speed and optimizes resource utilization, thereby proving pivotal in improving tax supervision efficiency and optimizing resource allocation.
tax; big data; Distributed real-time control; Kafka; Flink; ElasticSearch
Sitong Chen, Yanbin Long. Design and Realization of Tax Big Data Supervision System Based on Distributed Real-Time Control. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 5: 48-55. https://doi.org/10.25236/FSST.2024.060507.
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