Server Access Error Classification and Re-access Control
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Solution Overview
Problem
Existing methods for accessing servers fail to appropriately control re-access when errors occur, particularly distinguishing between temporary and persistent errors, leading to inefficient retry processes.
Innovation Solution
A method that involves acquiring error information from the server access, determining if the error is of a specific type (such as temporary) using character and image analysis, and re-accessing the server based on this determination, with the aid of a learned model for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If re-access is executed immediately after error occurrence, then response time is reduced, but unnecessary re-access occurs for persistent errors causing resource waste
Solution Approach 1:
The system performs preliminary classification of errors into temporary and persistent types before executing re-access. By analyzing error information in advance and determining the error type, the system prepares appropriate re-access strategies, avoiding unnecessary re-access attempts for persistent errors while enabling immediate re-access for temporary errors.
Solution Approach 2:
The system changes the re-access parameter (whether to re-access) based on the error type classification. For temporary errors, re-access is enabled with appropriate timing, while for persistent errors, re-access is disabled. This parameter change approach optimizes resource utilization while maintaining responsiveness.
2Measurement precision
If manual error determination is performed, then accuracy is reduced, but automation complexity increases
Solution Approach 1:
The system performs self-service by automatically determining error types through analyzing error information such as error codes and messages. The server or client autonomously classifies errors without requiring manual intervention, achieving high accuracy while maintaining relatively simple automation through rule-based or model-based classification.
Solution Approach 2:
The system replaces manual error determination (mechanical human operation) with automated error classification mechanisms. By substituting human judgment with automated analysis of error information, the system achieves consistent accuracy while reducing operational complexity through standardized classification processes.
3Loss of energy
If re-access timing is not controlled, then resource waste occurs, but operator burden increases
Solution Approach 1:
The system autonomously determines optimal re-access timing based on error type classification. For temporary errors, the system automatically schedules re-access after appropriate intervals, while for persistent errors, it prevents further re-access attempts. This self-service approach eliminates the need for operator intervention in timing decisions, reducing operator burden while optimizing resource usage.
Data Source
AI summary
An operator terminal 2 accesses a web server 1 via a network NW, and acquires error information on an error that has occurred in the access to the web server 1. And then, the operator terminal 2 determines whether or not the occurred error is an error of a specific type on a basis of the error information, and re-accesses the web server 1 in response to the determination that the occurred error is the error of the specific type.