Message Traffic Replication for Communication Device Accreditation
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Solution Overview
Problem
Current communication device accreditation processes are slow due to the lack of realistic message traffic testing, which fails to assess pattern-induced failures, throughput limitations, and actual device performance effectively, often conducted after device deployment.
Innovation Solution
A system that captures and reproduces message traffic characteristics, such as inter-arrival time, throughput, and message type, to create statistically accurate message traffic for testing communication devices, allowing for pre-deployment evaluation of device performance and identification of potential flaws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual messages are sent for device testing, then the testing process is simple to implement, but the testing accuracy and reliability are insufficient
Solution Approach 1:
The system creates a copy of real message traffic characteristics by capturing actual message patterns, inter-arrival times, message sizes, and traffic flows from a source device, then reproduces these characteristics in a controlled testing environment. This allows realistic testing without requiring actual user traffic, resolving the contradiction between testing reliability and system complexity.
Solution Approach 2:
The system performs preliminary capture and analysis of message traffic characteristics before device deployment or testing scenarios. By pre-capturing traffic patterns and storing them for later reproduction, the system enables comprehensive testing to be conducted in advance, improving reliability without adding operational complexity during actual testing.
2Reliability
If message traffic testing is conducted after device deployment, then the device can be deployed quickly, but post-deployment issues and failures occur
Solution Approach 1:
The system enables message traffic testing to be conducted before device deployment by capturing traffic characteristics and reproducing them in a pre-deployment testing environment. This preliminary testing identifies performance issues and failures before the device is deployed, eliminating post-deployment problems while maintaining quick accreditation timelines.
Solution Approach 2:
The system performs preliminary testing that anticipates and prevents potential failures by reproducing real message traffic patterns before deployment. By identifying and addressing issues in advance, the system prevents post-deployment failures without extending the accreditation timeline.
3Measurement precision
If realistic message traffic is used for testing, then device performance and pattern-induced failures can be accurately assessed, but the testing system becomes more complex
Solution Approach 1:
The system creates simplified copies of complex real-world message traffic by capturing essential characteristics (inter-arrival times, message sizes, traffic patterns) and reproducing them through software-based message generation. This approach achieves high measurement precision for device performance while avoiding the complexity of requiring actual production traffic or complex testing infrastructure.
Data Source
AI summary
Generally discussed herein are systems, apparatuses, and methods for creating message traffic. In one or more embodiments, a method can include receiving message characteristics of a plurality of messages to transmit to a device and transmitting, using processing circuitry, the plurality of messages to the device, wherein the plurality of messages are configured to replicate message traffic that includes the received message characteristics. The message characteristics can include a message pattern, a message density (e.g., high burstiness, low burstiness, or consistent traffic density), a message size, a message type, a message inter-arrival time, or other message characteristic.