Distributed quotation data collaborative pushing method and system

By dynamically correlating the fluctuations and congestion trends in the network environment, combining data block fragmentation of geographical grids and product classification, using scalable hash rings to bind storage nodes, optimize transmission path selection, solving the problem of inefficient network transmission under centralized architecture, and achieving stability and low latency transmission in high concurrency scenarios.

CN120528863AActive Publication Date: 2025-08-22RONG CUBE INFORMATION TECH (BEIJING) CO LTD
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Patent Information

Application Number
CN202510592936.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-09
Publication Date
2025-08-22
Estimated Expiration
2045-05-09

AI Technical Summary

Technical Problem

In the prior art, the network transmission efficiency caused by centralized architecture and static sharding strategies is low, the dynamic load adaptability is poor, burst traffic is likely to cause a single master node to be overloaded, shard expansion requires downtime to migrate data, and network bandwidth competition is serious in high concurrency scenarios, and basic message queues lack priority scheduling and adaptive compression capabilities.

Method used

By dynamically correlating network environment fluctuations and congestion trends, environmental network association parameters are generated, combined with data block fragmentation at the geographic grid and product classification level, and using scalable hash rings to bind storage nodes to generate redundant storage topology. Based on the path state evolution model and correction factors, the transmission path selection priority is optimized, elastic expansion and load balancing are achieved, and multi-hop transmission delay is reduced.

Benefits of technology

It improves the real-time adaptability of the transmission path and congestion avoidance capabilities, enhances the elastic expansion and load balancing of the storage nodes, optimizes the priority scheduling of cross-domain transmission, ensures the push success rate and timeliness stability in high concurrency scenarios, and reduces the probability of network congestion and end-to-end delay fluctuations.

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Abstract

The invention provides a distributed quotation data collaborative pushing method and system. The method comprises the following steps: establishing a dynamic association model with a network congestion trend by collecting transmission path environment fluctuation data, and generating environment network association parameters; real-time quotation data is cut by adopting double dimensions of a geographic grid boundary and a commodity classification hierarchy, and dynamic binding of data blocks and storage nodes is realized through a scalable hash ring; generating a dynamic routing strategy based on the environmental parameter energy integral, the geographic grid coverage density and the commodity level update rate, and calculating a transmission path priority by combining a geographic extension direction and a data volume growth trend; and constructing a path state evolution model, evaluating a node failure probability and spectrum energy attenuation, and when a path correction factor exceeds a threshold value, triggering a multi-channel push mechanism. According to the technical scheme provided by the invention, distributed quotation data pushing has a network state self-adaptive multi-path cooperation capability.
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