Policy Handling System Abnormality Detection via Log Frequency Analysis
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Solution Overview
Problem
Existing policy handling systems fail to detect and mitigate abnormal policy operations in real-time, leading to system instability and failure propagation, as they lack mechanisms to monitor policy execution state and respond to policy-induced errors effectively.
Innovation Solution
A policy handling system that includes an abnormality detecting unit, which analyzes policy operation logs to identify abnormal patterns based on triggered frequency, allowing for timely intervention to prevent system instability by stopping or delaying abnormal policy executions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If policy execution is automated without real-time monitoring, then productivity is improved through autonomous management, but system reliability deteriorates due to undetected abnormal policy operations
Solution Approach 1:
The patent implements a feedback mechanism where the policy operation log storage section continuously records policy execution results, and the abnormality detecting section analyzes these logs to provide feedback on policy performance. This closed-loop feedback system enables real-time detection of abnormal policies while maintaining automated execution, resolving the contradiction between productivity and reliability.
Solution Approach 2:
The policy operation log storage section acts as an intermediary between the policy executing section and the abnormality detecting section. It buffers and stores execution results, allowing the detection mechanism to analyze policy performance without interfering with the automated execution flow, thus maintaining productivity while enabling reliability monitoring.
2Reliability
If policy operation logs are stored and analyzed in real-time, then system reliability is improved through abnormality detection, but device complexity increases due to additional monitoring components
Solution Approach 1:
The patent segments the policy handling system into distinct functional modules: policy retrieving section, policy executing section, policy operation log storage section, and abnormality detecting section. This segmentation allows each component to perform its specific function independently, making the overall complex system manageable and maintainable while achieving reliable abnormality detection.
Solution Approach 2:
The policy operation log storage section creates a copy of policy execution results for analysis purposes, rather than modifying the original execution flow. This copying approach enables reliability monitoring through log analysis without adding complex interference mechanisms to the policy execution path.
3Reliability
If abnormal policies are detected and mitigated by stopping execution, then system reliability is improved, but loss of time occurs due to intervention delays
Solution Approach 1:
The system performs preliminary actions by continuously storing policy operation results in the log storage section during normal execution. When an abnormality is detected through log analysis, the system has already accumulated sufficient data to make rapid mitigation decisions, reducing response time while maintaining reliability.
Solution Approach 2:
The abnormality detecting section continuously monitors policy operation logs without waiting for complete execution cycles, allowing the system to detect and respond to abnormalities as soon as they manifest in the logs, thereby minimizing the time loss associated with intervention delays.
Data Source
AI summary
In a policy handling system performing automatic execution, management, and control of a system, a policy retrieving section (102) retrieves a policy associated with a triggering condition, and notifies a policy-execution-pattern analyzing section (105) of the retrieved policy. A policy-operation-log retrieving section (106) refers to a policy-operation-log storage section (107) to acquire the number of triggering times of the retrieved policy in a predetermined history acquisition period. The policy-execution-pattern analyzing section (105) compares the number of triggering times of the retrieved policy against a predetermined threshold and causes an abnormality notifying section (108) to issue abnormality information when the number of triggering times exceeds the threshold.