Data processing method and device, computer equipment, storage medium and program product
By extracting local and global features from the traffic sequence of the service program, the problem of inaccurate traffic prediction is solved, and more accurate capacity management is achieved.
CN122293530APending Publication Date: 2026-06-26TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TENCENT TECHNOLOGY (SHENZHEN) CO LTD
- Filing Date
- 2024-12-26
- Publication Date
- 2026-06-26
AI Technical Summary
Technical Problem
Existing technologies struggle to accurately capture the trend of traffic data changes over time within the traffic sequence of service programs, leading to inaccurate traffic predictions and impacting the accuracy of processing capacity management.
Method used
By extracting local features from the traffic sequence of the service program, local traffic features are obtained. Global features are then extracted using the similarity between local features. Finally, traffic prediction and capacity management are performed by combining the global traffic features.
Benefits of technology
This improves the accuracy of service program traffic prediction, thereby enhancing the accuracy of processing capacity management.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122293530A_ABST
Abstract
This application provides a data processing method, apparatus, computer equipment, storage medium, and program product. The method includes: acquiring a traffic sequence of a service program, the traffic sequence comprising L traffic data points; each traffic data point corresponding to a time step, each traffic data point indicating the service program's processing information for a service request at the corresponding time step; performing local feature extraction processing on the traffic sequence to obtain N local features of the traffic sequence; performing global feature extraction processing on the traffic sequence based on the similarity between the N local features to obtain global traffic features of the traffic sequence; performing traffic prediction processing on the service program based on the global traffic features of the traffic sequence, and managing the processing capacity of the service program based on the traffic prediction results. Using this application, traffic prediction processing of the service program can be performed more accurately, thereby improving the accuracy of managing the processing capacity of the service program.
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