Proactive Failure Prediction via User Dissatisfaction Tracking
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Solution Overview
Problem
Information handling systems often fail unexpectedly, leading to data loss and user dissatisfaction, as existing monitoring methods are costly and inefficient in predicting failures, especially when faults do not generate detectable patterns.
Innovation Solution
A system and method that monitor end user inputs for dissatisfaction variables, such as corrective actions, to issue alerts for proactive management, using a monitoring agent executing on a processing component to detect impending failures by tracking user interactions and establishing thresholds for proactive diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware and software monitoring agents analyze operating parameters to predict failures, then failure prediction capability is improved, but system cost and computational resource consumption increase significantly
Solution Approach 1:
The patent extracts the monitoring function from complex hardware/software monitoring agents and implements it through simple user input tracking. Instead of analyzing multiple operating parameters with sophisticated algorithms, the system only monitors user inputs (such as corrective actions taken by users) and tracks patterns in these inputs to predict failures, thereby reducing system complexity and resource requirements while maintaining predictive capability
Solution Approach 2:
The patent replaces expensive, complex monitoring infrastructure with a lightweight solution that uses basic input tracking mechanisms. The system employs simple counters and threshold comparisons rather than sophisticated analysis algorithms, using minimal computational resources to achieve failure prediction through monitoring of user behavior patterns
2Measurement precision
If comprehensive monitoring of all failure modes is implemented, then detection accuracy is improved, but computational resources and system complexity increase
Solution Approach 1:
The patent extracts the essential monitoring function from comprehensive failure mode analysis and focuses solely on tracking user inputs. By identifying and monitoring only the critical pattern of user corrective actions, the system achieves sufficient detection accuracy without the computational burden of analyzing all possible failure modes and their symptoms
Solution Approach 2:
The patent applies partial monitoring by focusing on a specific subset of user inputs that are most indicative of impending failures, rather than comprehensively monitoring all system parameters. This selective approach provides adequate detection accuracy while significantly reducing computational resource consumption
3Reliability
If data backup is performed to prevent data loss, then data safety is improved, but time consumption and operational inconvenience increase
Solution Approach 1:
The patent enables preliminary action by detecting failure patterns before actual failure occurs. By monitoring user input patterns and identifying when a failure is imminent, the system allows users to take corrective action proactively, preventing data loss before it happens rather than relying on reactive backup and restoration processes
Data Source
AI summary
Dissatisfaction variables track inputs made by an end user at an information handling system that are associated with end user dissatisfaction regarding the operation of the information handling system, such as corrective actions, so that an alert issues if a dissatisfaction variable changes by a predetermined amount over a predetermined time period. Dissatisfaction variables identify a pattern of a change in behavior by an end user rather than the operational status of system components. For example, an increase in end user forced shutdowns of the information handling system indicates end user dissatisfaction with the information handling system, such as repeated freezes of the operating system so that performing a timely diagnostics will improve end user satisfaction and proactively correct and impending system failure.