Error Policy Update via Boot-Time Analysis
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Solution Overview
Problem
In distributed computing environments, existing error correction mechanisms during the boot process are often inadequate, leading to potential run-time errors that can cause disruptions, system crashes, or downtime, as they rely on pre-defined, hard-coded actions that may not address the underlying causes of errors effectively.
Innovation Solution
An error analysis system updates the error policy based on both boot-time and run-time error information from multiple devices, allowing for the selection of appropriate actions to correct errors during the boot process, by analyzing and mapping error types to effective actions observed across the network of computing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-defined hard-coded actions are used during boot process, then the boot process is simple and fast, but the error correction effectiveness is insufficient leading to run-time errors
Solution Approach 1:
The system performs preliminary error analysis during the boot process by executing error recognition tests and analyzing boot-time error information before the operating system fully loads. This preliminary action identifies potential errors early, allowing the system to take corrective measures before run-time operations begin, thereby improving error correction effectiveness without significantly increasing overall system complexity
Solution Approach 2:
The system implements feedback mechanisms by analyzing both boot-time error information and run-time error information, then using this feedback to dynamically update the error policy. The error policy is continuously refined based on actual error occurrences and corrective actions taken, creating a closed-loop system that improves reliability over time while maintaining manageable complexity through automated learning
2Measurement precision
If error policy is updated based on run-time error information, then the error correction accuracy improves, but the time required to update and retrieve error policy increases
Solution Approach 1:
The system performs preliminary analysis of error information during boot-time before the system is fully operational. By analyzing boot-time error information early in the boot process, the system can pre-determine appropriate corrective actions and update the error policy in advance, reducing the time required for error policy updates during actual error occurrences while maintaining high identification accuracy
Solution Approach 2:
The system implements self-service mechanisms where the error analysis automatically processes error information and updates the error policy without requiring manual intervention. The system serves itself by autonomously analyzing errors, determining corrective actions, and updating its own error policy, which reduces both the time required for updates and the operational overhead
3Reliability
If boot-time error information is analyzed and stored, then the error policy can be improved, but the memory usage and data management complexity increase
Solution Approach 1:
The system extracts only the essential and relevant error information from boot-time error logs, focusing on extracting key error patterns, types, and corrective actions rather than storing complete raw log data. This extraction approach maintains system reliability by preserving critical error learning data while significantly reducing the quantity of stored information and associated data management complexity
Solution Approach 2:
The system applies local quality by storing error information with varying levels of detail based on their importance and frequency. Critical error patterns that occur frequently or have severe impacts are stored with higher detail and retention, while less important errors are stored with minimal information. This differentiated storage approach optimizes both reliability improvement and resource utilization
Data Source
AI summary
Approaches for updating an error policy based on boot-time error information and run-time error information, are described. The error policy maps an error type with a prescribed action. In an example, the error policy is updateable based run-time error information corresponding to a computing device. The updated error policy may then be used for addressing boot-time errors of computing devices.