Network Traffic Characterization via Feedback Loop
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Solution Overview
Problem
Current network testing systems lack the capability to effectively capture and analyze network traffic in a way that accurately represents real-world conditions, making it difficult to evaluate and validate network performance, devices, and applications.
Innovation Solution
A network testing system that employs successive capturing and analysis of network traffic using collectors and characterization units, which filter, model, and profile the traffic, allowing for iterative refinement and generation of network traffic data, enabling comprehensive evaluation and validation of networks and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network testing systems capture and analyze network traffic, then network performance evaluation is improved, but the complexity of the testing system increases
Solution Approach 1:
The testing system is divided into separate functional modules: collectors for capturing traffic, characterization units for analyzing traffic, and traffic generators for creating test scenarios. This segmentation allows each module to be optimized independently while working together to provide comprehensive network testing capabilities.
Solution Approach 2:
The system employs feedback mechanisms where characterization units analyze captured traffic data and provide information back to collectors and traffic generators. This feedback loop enables iterative refinement of testing approaches and improves the accuracy of network performance evaluation over time.
2Measurement precision
If successive capturing and analysis of network traffic is performed, then network traffic characterization is improved, but the time required for testing increases
Solution Approach 1:
The system performs preliminary characterization of network traffic by capturing and analyzing traffic patterns before actual testing begins. This preliminary analysis establishes baseline profiles and expectations that guide subsequent testing activities, reducing the time needed for comprehensive evaluation.
Solution Approach 2:
The successive capturing and analysis process operates continuously, with collectors constantly monitoring network traffic and characterization units continuously refining their analysis. This continuous operation ensures that testing remains efficient while progressively improving characterization accuracy without requiring discrete, time-consuming restarts.
Data Source
AI summary
Automated capturing and characterization of network traffic using feedback is described. A method may include capturing network traffic, compiling network traffic data based on the network traffic, analyzing the network traffic data, and automatically providing instructions based on the analyzing to control the capturing and the compiling. A system on which the method may execute may include one or more chassis or computing devices having one or more network cards. The chassis and/or the computing devices may be connected to one or more networks, and may be connected to one another. A system that implements the method may include collectors, characterization units, and a feedback controller.