Methods, devices, equipment, and storage media for managing asynchronous business processing threads

By dividing the business process into pre-marking and post-execution stages, and performing targeted scaling based on log data analysis, the problem of resource redundancy and frequent switching in the overall scaling strategy of existing technologies is solved, thereby improving the system resource utilization and overall efficiency.

CN122086599APending Publication Date: 2026-05-26INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Filing Date
2026-01-12
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In existing high-concurrency business processing solutions, the overall scaling strategy cannot accurately alleviate the pressure of overloaded processes, resulting in resource redundancy and frequent thread switching, which reduces the overall efficiency of the system.

Method used

The business process is divided into two stages: pre-marking and post-execution. First and second logs are generated for each stage, respectively. By analyzing the log data, the thread processing efficiency and task quantity of each stage can be analyzed to achieve targeted scaling and accurately supplement thread resources for bottleneck links.

Benefits of technology

It precisely alleviates local bottlenecks in the process, reduces thread resource redundancy and switching losses, and improves system resource utilization and overall operating efficiency.

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Abstract

This application provides a method, apparatus, device, and storage medium for managing asynchronous business processing threads, relating to the fields of fintech or big data. The processing flow of pending business is divided into multiple ordered processing stages, including a pre-marking stage and a post-execution stage. In the pre-marking stage, pending business records are acquired and their processing status is marked, generating a first log. In the post-execution stage, the marked business records are asynchronously processed, generating a second log. Based on the first and second logs, the thread processing efficiency index and the number of pending tasks for each ordered processing stage are determined. When the thread processing efficiency index of any ordered processing stage exceeds a corresponding preset threshold, the business threads in the ordered processing stage are targeted for expansion based on the number of pending tasks. This method improves system resource utilization and overall operating efficiency.
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