Automated Tracing System for Dynamic Performance Penalty Adjustment
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Solution Overview
Problem
Program execution tracing tools face challenges in balancing trace information completeness with performance impact, often resulting in excessive performance penalties that slow down traced processes, especially in mission-critical applications where access to source code or symbolic information is limited.
Innovation Solution
An automated tracing system that adjusts trace data collection by initially setting a maximal tracing profile and monitoring performance penalties, removing high-impact trace points to maintain a preset performance limit, allowing for quick self-adjustment and prioritizing essential trace points, even under varying CPU loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If extensive tracing of each function call, source line, and variable is performed to gather complete diagnostic information, then trace information completeness is improved, but performance penalty increases excessively
Solution Approach 1:
The tracing system dynamically adjusts the set of traced functions based on runtime performance monitoring. The tracer automatically adds or removes trace points depending on current performance conditions, transforming a static tracing configuration into a dynamic one that adapts to system state changes.
Solution Approach 2:
The system changes the parameter of trace point density by adjusting which functions are traced. When performance degrades, the tracer reduces the number of active trace points; when performance is adequate, it increases tracing coverage, thereby optimizing the balance between information completeness and execution speed.
2Reliability
If a maximal set of trace points is used to ensure comprehensive diagnostic coverage, then diagnostic capability is improved, but performance penalty exceeds acceptable limits
Solution Approach 1:
The tracing system implements feedback by continuously monitoring performance metrics and using this information to adjust tracing behavior. The tracer measures the performance impact of tracing and feeds this information back to automatically modify the tracing profile, ensuring diagnostic capability is maintained within acceptable performance bounds.
Solution Approach 2:
Instead of always applying maximal tracing, the system applies partial tracing by selectively enabling trace points based on performance conditions. This allows the system to gather sufficient diagnostic information without the excessive overhead of comprehensive tracing at all times.
3Productivity
If the tracer automatically adjusts trace points to maintain performance limits, then performance penalty is controlled, but trace information completeness may be reduced
Solution Approach 1:
The system dynamically adjusts the tracing profile to match runtime performance conditions. When performance is good, more trace points are active providing complete information; when performance degrades, fewer trace points are active maintaining acceptable execution speed. This dynamic adaptation resolves the contradiction between information completeness and performance.
Data Source
AI summary
A tracing system that provides automated tuning of execution tracing by adjusting the collection of trace data is described. In one embodiment, the user sets an initial tracing profile for a tracing program. In addition, the user sets an upper limit for the tracing performance penalty. The auto-tuning system monitors the performance penalty induced by tracing and, when the performance impact is excessive, removes trace points that are causing the most impact on performance. Auto tuning is especially useful for performing software recording in mission-critical and/or time-critical applications, such as servers, real-time applications, etc. The system typically adjusts relatively quickly such that most users do not feel the influence of the tracer.