Proactive Network Testing via Tap-Monitored Threshold Triggers
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Solution Overview
Problem
Current network testing methods are reactive, leading to significant network impact and increased costs due to delayed issue identification and repair, as they require manual intervention and are not proactive in monitoring network conditions.
Innovation Solution
Implementing a system with network taps to monitor live traffic and detect trends, using a test controller to initiate proactive network testing based on predefined trigger conditions, configuring test agents to execute network tests automatically, and reporting results to operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual network testing is performed, then network issues can be identified, but network impact increases and response time delays due to reactive testing
Solution Approach 1:
The system performs preliminary monitoring of network conditions and proactively initiates tests before issues manifest, rather than waiting for reactive manual testing. The test controller continuously monitors metrics and automatically triggers tests when threshold conditions are met, enabling early detection and reducing response time.
Solution Approach 2:
The system implements continuous feedback loops where network metrics are monitored, analyzed against thresholds, and automatically trigger appropriate testing actions. This closed-loop feedback mechanism enables the system to adaptively respond to changing network conditions without manual intervention, improving both reliability and response time.
2Ease of operation
If automated network testing is implemented, then user involvement is reduced, but system complexity increases
Solution Approach 1:
The testing system is designed to be self-service, where the test controller automatically monitors network conditions, determines when testing is needed, configures test agents, and executes tests without user involvement. The system serves itself by autonomously managing the entire testing lifecycle from detection to execution.
Solution Approach 2:
The system divides testing functions into separate modular components: a test controller for monitoring and decision-making, and test agents for execution. This segmentation allows each component to have specialized functionality, reducing overall system complexity while enabling automation.
3Reliability
If continuous network monitoring is performed, then network issues are detected earlier, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system performs periodic sampling of network metrics at intervals and triggers tests only when metrics exceed predefined thresholds. This periodic approach with event-driven triggering reduces energy consumption while maintaining effective issue detection capability.
Solution Approach 2:
The system changes monitoring parameters dynamically by adjusting the intensity and frequency of monitoring based on network conditions. During normal operation, monitoring is less intensive; when anomalies are detected, monitoring intensity increases, optimizing energy usage while maintaining detection reliability.
Data Source
AI summary
The subject matter described herein includes methods, systems, and computer readable media for proactive network testing. One method for proactive network testing includes receiving, by a test controller and via a network tap, at least one metric associated with live network traffic; determining, by the test controller and using the at least one metric and a threshold value associated with the at least one metric, that a network test is to be performed; configuring, by the test controller, a first test agent to execute the network test; and executing, by the first test agent, the network test.