Electronic Device Performance Forecasting via Segmented Data Analysis
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Solution Overview
Problem
Managing complex computer systems with multiple electronic devices is challenging due to inefficiencies and bottlenecks, as existing methods struggle to accurately predict and improve the performance of individual devices within the system.
Innovation Solution
A system and method for collecting and analyzing performance data using an intermediate processing unit, which eliminates irrelevant data and employs linear models to generate forecasts, providing graphical displays and reports to inform decision-making on device upgrades and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex systems include multiple diverse electronic devices, then system functionality and capability increase, but system complexity and difficulty of management increase
Solution Approach 1:
The patent segments the complex system into individual electronic device components, analyzing each device's performance data separately. By collecting and evaluating performance metrics for each discrete device (memory, disks, LAN adaptors, CPUs) rather than treating the system as a monolithic entity, the method enables targeted identification of bottlenecks and inefficiencies in specific components while maintaining overall system functionality.
2Loss of information
If performance data collection encompasses all system data, then comprehensive analysis capability improves, but data relevance and interpretability deteriorate due to irrelevant data
Solution Approach 1:
The patent extracts and isolates relevant performance data from the broader system data stream by collecting specific performance metrics for individual electronic devices. The method filters out irrelevant data through targeted data collection focused on device-specific performance parameters, enabling precise interpretation of performance issues without being overwhelmed by extraneous information.
3Productivity
If system-wide performance analysis is performed, then overall system optimization improves, but ability to manipulate individual device capacity deteriorates
Solution Approach 1:
The patent enables manipulation of individual electronic devices by segmenting system-wide performance analysis into device-specific evaluations. The method collects performance data for each electronic device separately, allowing administrators to identify and address bottlenecks at the individual device level while still contributing to overall system optimization through aggregated insights.
4Ease of manufacture
If traditional performance monitoring methods are used, then implementation simplicity is maintained, but accuracy in predicting future performance and identifying bottlenecks deteriorates
Solution Approach 1:
The patent implements continuous performance monitoring and analysis with feedback mechanisms that collect device performance data, analyze trends, and generate insights for future performance prediction. The system evaluates performance metrics over time, identifies patterns and bottlenecks, and provides feedback that enables proactive capacity planning and optimization decisions, improving prediction accuracy while maintaining practical implementability.
Data Source
AI summary
A performance management system and method for generating a plurality of forecasts for one or more electronic devices is presented. The forecasts are generated from stored performance data and analyzed to determine which devices are likely to experience performance degradation within a predetermined period of time. A single forecast is extracted for further analysis such that computer modeling may be performed upon the performance data to enable the user to predict when device performance will begin to degrade. In one embodiment, graphical displays are created for those devices forecasted to perform at an undesirable level such that suspect devices may be subjected to further analysis.