Latency Surveillance System for Software Aging Detection
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Solution Overview
Problem
Enterprise computing systems face reliability issues due to software aging, which can be misattributed to environmental factors, leading to incorrect alerts and delayed detection of actual performance degradation.
Innovation Solution
A system that analyzes telemetry data to distinguish between environmentally triggered performance degradation and software aging by correlating transaction latencies with environmental factors, using techniques like slope-estimation and correlation coefficient calculation, and generates alerts or performs remedial actions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system monitors transaction latencies to detect software aging, then the reliability of enterprise computing systems is improved, but false alarms occur when environmental factors are misattributed as software aging causes
Solution Approach 1:
The patent segments the monitoring system into distinct functional modules: a telemetry data collector that gathers environmental data (temperature, humidity, noise), a transaction latency monitor that tracks performance metrics, and a correlation analyzer that compares these datasets. This segmentation allows each module to specialize in specific data types and analysis methods, improving overall measurement precision by reducing cross-contamination of data sources and analysis logic.
Solution Approach 2:
The patent introduces an intermediary correlation analysis module that acts as a mediator between environmental telemetry data and transaction latency data. This intermediary component performs statistical correlation analysis to determine whether observed latency increases are genuinely due to software aging or merely coincidental with environmental changes. By inserting this intermediary analysis layer, the system avoids direct but erroneous attribution of environmental factors as software aging causes, thereby reducing false alarms while maintaining reliable detection.
2Measurement precision
If the system performs comprehensive correlation analysis between transaction latencies and environmental factors, then false alarms are reduced, but the device complexity increases
Solution Approach 1:
The patent implements partial correlation analysis by focusing only on the most relevant environmental factors (temperature, humidity, noise levels) rather than attempting to monitor and analyze all possible environmental variables. The system applies correlation analysis selectively when latency thresholds are exceeded, rather than continuously analyzing all environmental data. This partial action approach maintains high measurement precision for root cause identification while avoiding the excessive complexity that would result from comprehensive multi-factor continuous analysis.
Solution Approach 2:
The patent changes the operational parameters of the correlation analysis based on system state. When transaction latencies remain within normal thresholds, the system minimizes correlation analysis activity. When latencies exceed thresholds, the system activates comprehensive correlation analysis with increased sampling rates and multiple environmental factors. This dynamic parameter adjustment allows the system to achieve high measurement precision when needed while reducing average system complexity and resource consumption during normal operation.
3Speed
If the system continuously monitors transaction latencies and environmental factors, then the detection speed of performance degradation is improved, but the energy consumption increases
Solution Approach 1:
The patent implements periodic monitoring with variable intervals based on system state. During normal operation, the system performs correlation analysis at extended intervals, reducing energy consumption while maintaining adequate detection capability. When transaction latencies approach threshold levels or environmental factors show abnormal changes, the system increases monitoring frequency to detect potential software aging events more rapidly. This periodic action with adaptive intervals achieves improved detection speed when necessary while minimizing energy consumption during stable operation.
Solution Approach 2:
The patent performs preliminary threshold checking on transaction latencies before initiating full correlation analysis. The system continuously monitors latency values with minimal resource consumption and only activates comprehensive environmental factor correlation analysis when latencies exceed predefined thresholds. This preliminary action approach ensures rapid detection of performance degradation by maintaining constant latency monitoring while avoiding continuous high-energy correlation analysis, thus balancing detection speed with energy efficiency.
Data Source
AI summary
The disclosed embodiments provide a system that analyzes telemetry data from a computer system. During operation, the system obtains the telemetry data, which includes first information containing telemetric signals gathered using sensors in the computer system and second information that indicates one or more transaction latencies of software running on the computer system. Upon detecting an upward trend in the one or more transaction latencies, the system analyzes the telemetry data for a correlation between the one or more transaction latencies and one or more environmental factors represented by a subset of the telemetric signals. Upon identifying the correlation between the one or more transaction latencies and an environmental factor, the system stores an indication that the environmental factor may be contributing to the upward trend in the one or more transaction latencies.