Computer System Sensor Control for Correlated Anomaly Detection
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Solution Overview
Problem
Existing computer systems face challenges in detecting anomalies caused by variations in operation parameters such as supply voltage, clock frequency, temperature, and software faults, which can lead to performance issues and power inefficiencies due to the use of independent threshold values that fail to account for correlations between these parameters.
Innovation Solution
Implementing a system with monitor circuits that generate monitor signals, a control circuit to determine combined probabilities of these parameters, and adjust system operation using control signals based on machine learning techniques to identify anomalies and maintain optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If independent threshold values are used to monitor operation parameters, then the monitoring system is simple to implement, but it fails to account for correlations between parameters leading to false positives and negatives
Solution Approach 1:
The patent combines multiple independent threshold monitors into a unified anomaly detection system that evaluates multiple operation parameters (voltage, frequency, temperature) simultaneously. The control circuit integrates signals from multiple monitor circuits and applies a combined probability threshold, merging previously separate monitoring functions into a coordinated system that detects anomalies more accurately by considering parameter correlations.
2Reliability
If multiple operation parameters are monitored with independent thresholds, then each parameter can be monitored individually, but correlations between parameters are not accounted for reducing detection accuracy
Solution Approach 1:
The control circuit receives feedback signals from multiple monitor circuits and uses this information to dynamically adjust monitoring decisions. The system continuously monitors operation parameters, compares combined probabilities against thresholds, and can trigger alerts or adjust operation when anomalies are detected. This feedback loop enables the system to account for correlations between parameters and improve detection reliability.
3Measurement precision
If a unified probability threshold is used for multiple parameters, then detection accuracy improves by considering correlations, but the computational complexity increases
Solution Approach 1:
The patent transforms multiple operation parameters (voltage, frequency, temperature) into a unified probability metric that can be compared against a single threshold. Each monitor circuit converts its parameter measurements into probability values indicating the likelihood of normal operation, and the control circuit combines these probabilities to assess overall system health. This parameter transformation enables simplified threshold-based decision-making while maintaining high detection accuracy.
Data Source
AI summary
A computer system may include multiple sensor circuits that monitor operation parameters of a computer system circuit in the computer system. A control circuit may use monitor signals generated by the sensor circuits to determine probabilities that the operation parameters are within corresponding ranges. The control circuit can use the determined probabilities to generate a combined probability, which can be compared to a threshold value. The operation of the computer system circuit can be adjusted by the control circuit using results of the comparison between the combined probability and the threshold value.