Application Performance Detection Using Act-Level State Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing application performance measurement methods fail to accurately identify the cause of operational failures, limiting developers' ability to optimize application performance.
Innovation Solution
Collect and analyze running data from target operations to determine state feedback information for each act, enabling precise identification of performance issues and failure causes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing application performance measurement methods are used, then the measurement process is simple, but the ability to identify the cause of operational failures is insufficient
Solution Approach 1:
The patent segments the target operation into multiple acts (first act, second act, etc.) and collects running data for each act separately. This segmentation enables precise identification of which specific act failed and why, improving failure cause identification accuracy without requiring a completely complex system redesign.
Solution Approach 2:
The patent implements a feedback mechanism where state feedback information is generated based on running data and returned to indicate the performed state of each act. This feedback loop enables continuous monitoring and precise failure detection, allowing the system to identify performance issues accurately while maintaining manageable complexity through structured data collection and processing.
2Measurement precision
If detailed state feedback information is collected for each act, then the precision of performance detection is improved, but the amount of data processing increases
Solution Approach 1:
The patent extracts only the necessary running data related to each specific act from the overall operation. By focusing data collection on only the relevant acts and their specific running data, the system achieves precise performance detection while minimizing unnecessary data processing and reducing time consumption.
Solution Approach 2:
The patent collects running data for all acts in the target operation sequence, but processes and analyzes only the state feedback information for acts that are relevant to the detected failure. This partial processing approach maintains high measurement precision for critical acts while avoiding excessive processing time by not analyzing all data equally.
Data Source
AI summary
According to an embodiment of the disclosure, a method, apparatus, device and storage medium are provided. In the method, running data resulting from a target application performing a target operation is obtained, the target operation comprising a plurality of acts, the running data at least indicating a last act of the plurality of acts performed by the target application during performing the target operation at at least one client. State feedback information for the plurality of acts is determined based on the running data, the state feedback information indicating a performed state of each act of the plurality of acts. Performance information of the target application is determined based on the state feedback information.