Virtual Distance Metric for Network Component Performance Quantification
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Solution Overview
Problem
Existing methods fail to provide a standardized metric to quantify the performance of components in communications networks, making it difficult to compare components from different manufacturers, especially those with varying characteristics and interface combinations.
Innovation Solution
A method representing components as virtual distances using the formula x=v1·S1=v2·S2=...=vi·Si=vi+1·Si+1=...=vn·Sn, where vi represents virtual speed and Si is service time, allowing for a constant metric that relates to intrinsic properties, enabling comparison across different components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manufacturers measure and list various performance variables in data sheets, then performance information is provided, but comparison between components from different manufacturers becomes difficult due to varying measured variables
Solution Approach 1:
The patent transforms multiple varying performance variables into a single standardized metric called virtual distance. By changing the parameter representation from diverse variables (service time, throughput, latency) to a unified virtual distance metric, components from different manufacturers can be directly compared on a common scale.
Solution Approach 2:
The virtual distance metric serves multiple functions simultaneously: it quantifies performance, enables comparison across different component types, works for both uplink and downlink communication, and accommodates various interface combinations. This universal metric replaces the need for multiple separate performance measurements.
2Ease of operation
If a standardized metric like Horse Power or MIPS is created, then simple benchmarking is achieved, but quantification of components with different characteristics (uplink/downlink, interface combinations) becomes difficult
Solution Approach 1:
The virtual distance metric is dynamic and adaptable rather than static. It can adjust to different component characteristics, communication directions (uplink/downlink), and interface combinations while maintaining a consistent calculation methodology. This allows the same simple metric to handle diverse component types.
Solution Approach 2:
The patent applies local quality by allowing the virtual distance calculation to be customized for specific component characteristics and communication scenarios. Each component can have its virtual distance calculated based on its specific properties (interfaces, communication direction), yet all results remain comparable through the unified metric.
3Quantity of substance
If performance measurements are taken at different times or in different environments, then comprehensive performance data is collected, but results vary due to time and environmental factors
Solution Approach 1:
The patent extracts the essential performance characteristics from measurements taken under varying conditions by calculating virtual distance. By separating the core performance metric from environmental variables, the method maintains measurement consistency even when collected at different times or in different environments.
Solution Approach 2:
The virtual distance calculation incorporates feedback mechanisms that account for varying conditions. By continuously measuring service time and adjusting the virtual distance metric based on actual performance data, the system compensates for environmental variations and maintains reliable comparisons.
Data Source
AI summary
A method and system for quantifying the performance of a component adapted to function as a node in a communications network where the component is represented by a virtual distance (x) according to the following formula:x=Si+1-SiISwhere the virtual distance x is a representation of a metric that relates to intrinsic properties of the component.