Network Performance Effectiveness Device for Availability Capacity Quality
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Solution Overview
Problem
Modern networks face challenges in objectively evaluating and improving their overall performance due to the complexity and variability of network media, styles, types, topologies, and underlying requirements.
Innovation Solution
An overall network performance effectiveness improvement device calculates an overall network performance effectiveness level based on network availability, capacity, and quality levels, and initiates corrective actions if the level falls below predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple network metrics are collected for comprehensive evaluation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments network performance evaluation into three distinct dimensions: availability (uptime%), capacity (utilization%), and quality (packet error rate%). Each dimension is measured separately using specific metrics, then combined into an overall effectiveness score. This segmentation allows comprehensive evaluation while maintaining manageable complexity through structured categorization.
Solution Approach 2:
The patent merges multiple individual network metrics into a single composite effectiveness score by weighting and combining availability, capacity, and quality measurements. This consolidation provides a simplified overall assessment that captures network health without requiring administrators to interpret numerous separate metrics, thus reducing operational complexity.
2Measurement precision
If detailed network metrics are monitored for comprehensive analysis, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent divides complex network performance data into three intuitive segments: availability (is the network up?), capacity (is it overloaded?), and quality (are packets erroneous?). This segmentation transforms complex raw data into conceptually simple categories that are easy to understand and interpret for network administrators.
Solution Approach 2:
The system provides continuous feedback by comparing measured performance against predefined thresholds and generating actionable alerts when metrics exceed acceptable ranges. This feedback mechanism translates complex measurements into straightforward guidance for corrective action, making the system easy to operate while maintaining precise measurement.
3Measurement precision
If network performance is evaluated using multiple metrics for comprehensive assessment, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments detection into three focused areas: availability detection (monitoring uptime), capacity detection (monitoring utilization percentages), and quality detection (monitoring packet error rates). Each segment targets specific metrics that are relatively easy to collect from network devices, reducing the overall difficulty of comprehensive measurement.
Solution Approach 2:
The patent introduces an intermediary evaluation framework that translates difficult-to-measure network health into three measurable components. This intermediary layer of abstraction makes it easier to detect and measure network effectiveness by breaking down complex systemic issues into discrete, measurable factors that can be monitored through standard network management tools.
Data Source
AI summary
An overall network performance effectiveness improvement device that is configured to improve overall network performance based on a network availability level, a network capacity level, and/or a network quality level. The device may be configured to receive network availability data, network capacity data, and network quality data and calculate a network availability level, a network capacity level, and a network quality level based on such network availability data, network capacity data, and network quality data, to determine whether the calculated overall network performance effectiveness level is below a predetermined threshold overall network performance effectiveness level, and to cause a network improvement control event that is configured to improve overall network performance effectiveness of the network if the overall network performance effectiveness level is below a predetermined threshold overall network performance effectiveness level.