Variable-Fidelity Network Testbeds for Efficient Resource Allocation

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Solution Overview

Problem

Network testing is inefficient and time-consuming due to the difficulty in manually configuring test infrastructures with varying emulation fidelity levels, which can be costly and prone to human error.

Innovation Solution

A network test system that automatically selects and configures test bed elements with varying emulation fidelity levels based on test objectives, dynamically adjusting fidelity during testing to optimize resource allocation and improve efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual configuration of test infrastructures with varying emulation fidelity levels is used, then testing can be performed with different fidelity requirements, but the process becomes time-consuming and inefficient

Engineering Contradiction:
Improveemulation fidelity levelsVSAvoidtesting efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adjusts emulation fidelity levels during test execution based on real-time requirements. The test controller automatically selects between high-fidelity and low-fidelity TBEs depending on the specific test objectives, transforming the static manual configuration process into a dynamic adaptive system that optimizes testing efficiency while maintaining necessary accuracy.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The test system performs self-configuration by automatically selecting and configuring appropriate test bed elements based on test objectives without requiring manual intervention. The intelligent controller autonomously determines the required emulation fidelity levels and configures the test infrastructure accordingly, eliminating the time-consuming manual configuration process.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If high-fidelity test bed elements are used throughout the test infrastructure, then testing accuracy is improved, but resource allocation becomes inefficient and costs increase

Engineering Contradiction:
Improvetesting accuracyVSAvoidresource allocation efficiency
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The system applies different emulation fidelity levels to different parts of the test infrastructure based on local requirements. High-fidelity test bed elements are deployed only where testing accuracy is critical, while low-fidelity elements are used in areas where approximate behavior is sufficient. This localized quality approach optimizes resource allocation and reduces overall system costs while maintaining necessary testing accuracy.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes the fidelity parameter of test bed elements dynamically based on test requirements. Instead of using a fixed high-fidelity configuration throughout, the intelligent controller adjusts the fidelity parameter of individual TBEs according to the specific test objectives, achieving optimal balance between accuracy and resource efficiency.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If manual configuration processes are used, then flexibility in selecting test bed elements is maintained, but human error increases and configuration becomes complex

Engineering Contradiction:
Improvetest bed element selectionVSAvoidconfiguration accuracy
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The test system performs self-configuration by automatically selecting appropriate test bed elements based on test objectives without requiring manual intervention. The intelligent controller autonomously determines the required emulation fidelity levels and configures the test infrastructure accordingly, eliminating human error while maintaining flexibility through programmatic decision-making.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where the test controller continuously monitors test requirements and adjusts the configuration of test bed elements accordingly. This closed-loop control ensures that the correct fidelity levels are applied to the appropriate test scenarios, maintaining both flexibility and reliability through automated feedback-driven configuration.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260046235A1Methods, systems, and computer readable media for providing a network test environment with variable emulation fidelity
Publication Date: 2026.02.12 KEYSIGHT TECHNOLOGIES INC
  • US20260046235A1 patent drawing
  • US20260046235A1 patent drawing
  • US20260046235A1 patent drawing

AI summary

Methods, systems, and computer readable media for providing a network test environment with variable emulation fidelity are disclosed. According to one method, the method occurs at a test system implemented using at least one processor. The method includes receiving test configuration information associated with a test session for configuring a test environment comprising a plurality of test bed elements (TBEs); configuring, using the test configuration information and available test system resources, the plurality of TBEs, wherein configuring the plurality of TBEs includes selecting a first TBE of the plurality of TBEs providing a higher fidelity than a second TBE of the plurality of TBEs; initiating the test session involving the test environment; and obtaining test results associated with the test session.