Operation Performance Manager Execution Time Monitoring
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Solution Overview
Problem
Modern computing systems experience performance degradation due to hardware components taking an exceptionally long time to execute commands, leading to increased latency and decreased system performance.
Innovation Solution
A method for managing operation performance by storing and calculating execution time characteristics for each operation in hardware devices, detecting deviations, and providing warnings or updates to prevent excessive execution times, utilizing an operation performance manager that tracks and analyzes execution metrics across various hardware components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software is updated to improve functionality, then system capabilities are enhanced, but operation execution time increases excessively
Solution Approach 1:
The system performs preliminary actions by establishing baseline execution times for operations before software updates are applied. These baselines are stored and used for future comparison to detect when operations are taking excessively long, allowing the system to proactively identify performance degradation before it significantly impacts overall system performance.
Solution Approach 2:
The system implements feedback by continuously monitoring operation execution times and comparing them against stored baseline values. When deviations exceed predetermined thresholds, the system generates alerts or notifications to inform users of performance issues, enabling timely intervention to restore optimal operation speed.
2Speed
If hardware components execute commands faster, then system performance improves, but latency increases when commands take exceptionally long to execute
Solution Approach 1:
The system implements feedback by continuously monitoring operation execution times and comparing them against stored baseline values. When deviations exceed predetermined thresholds, the system generates alerts or notifications to inform users of performance issues, enabling timely intervention to restore optimal operation speed.
Solution Approach 2:
The system applies dynamics by adjusting performance thresholds and monitoring parameters based on operational context. The predetermined time thresholds can be modified based on operation type and system state, allowing the system to adapt its performance criteria dynamically rather than using fixed thresholds for all operations.
3Measurement precision
If operation performance is monitored continuously, then execution time deviations are detected, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing performance monitoring into distinct functional modules: baseline establishment, real-time measurement, threshold comparison, and alert generation. This modular approach allows each component to be independently managed and optimized, reducing overall system complexity while maintaining comprehensive monitoring capabilities.
Solution Approach 2:
The system implements feedback by continuously monitoring operation execution times and comparing them against stored baseline values. When deviations exceed predetermined thresholds, the system generates alerts or notifications to inform users of performance issues, enabling timely intervention to restore optimal operation speed.
Data Source
AI summary
Systems and methods for managing operation performance are included herein. In one example, a method includes determining an operation execution time. The method also includes storing the operation execution time. Furthermore, the method includes calculating an operation performance characteristic based on the operation execution time. The method also includes determining a threshold based on the operation performance characteristic. Additionally, the method includes determining the operation execution time is above the threshold. In addition, the method includes providing a warning based at least on the operation performance characteristic and the threshold.


