Collaboration Platform Optimizes Remote Device Testing Data Transmission
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Solution Overview
Problem
Remote testing of devices under test (DUTs) is hindered by communication issues such as high latency, low throughput, and packet loss due to network conditions, which affect the scalability and efficacy of testing.
Innovation Solution
A collaboration platform enables connectivity between DUTs and user devices via a network, identifies the intended recipient user device, determines network condition information, and applies techniques like encoding, scaling, or transcoding to optimize test result data transmission, reducing latency and packet loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If test result data is transmitted over a network to remote user devices, then remote testing capability is enabled, but communication issues such as high latency, low throughput, and packet loss occur
Solution Approach 1:
The collaboration platform acts as an intermediary between the device under test and multiple user devices. It receives test result data from the DUT, determines network conditions, applies appropriate techniques (encoding, scaling, transcoding), and distributes optimized data to user devices. This mediator approach resolves the contradiction by managing network transmission challenges centrally while enabling remote access.
Solution Approach 2:
The system dynamically changes data transmission parameters based on network conditions. When network quality degrades (high latency, low throughput, packet loss), the collaboration platform applies techniques such as encoding, scaling, or transcoding to adjust data parameters, ensuring reliable delivery while maintaining remote testing capability.
2Reliability
If network condition optimization techniques are applied to test result data, then data transmission reliability is improved, but processor and memory resources are consumed
Solution Approach 1:
The collaboration platform applies optimization techniques selectively rather than universally. It determines network conditions for each user device and applies encoding, scaling, or transcoding only when and where needed based on actual network quality, avoiding unnecessary resource consumption while maintaining reliability where required.
Solution Approach 2:
The system determines network condition information and uses this feedback to dynamically select appropriate optimization techniques. This feedback mechanism ensures that processor and memory resources are consumed only when network conditions warrant optimization, balancing reliability improvement with resource efficiency.
3Productivity
If test result data is provided in real-time to multiple user devices, then testing efficiency is improved, but network bandwidth and data transmission capacity are strained
Solution Approach 1:
The collaboration platform segments the distribution of test result data to multiple user devices. It identifies individual user devices, determines their specific network conditions, and applies appropriate optimization techniques to each device's data stream. This segmentation enables real-time delivery to multiple users while managing overall network bandwidth consumption through targeted optimization.
Data Source
AI summary
A device may perform a testing operation on a device under test. The device may obtain test result data based on performing the testing operation on the device under test. The device may identify a user device that is to receive the test result data associated with the device under test from the device and via a network. The device may be in communication with a set of user devices via the network. The set of user devices may include the user device. The user device may control operation of the device. The device may determine network condition information associated with the user device and the network. The device may provide, using a technique that is based on the network condition information, the test result data to the user device. The user device may receive the test result data based on controlling operation of the device.