Adtran. has been granted a patent for a method that enables the visualization of network traffic data. The system processes queries for playback data, extracts relevant historical data, and generates filtered playback data, allowing for reverse visual playback of network states across multiple devices. GlobalData’s report on Adtran gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Adtran, was a key innovation area identified from patents. Adtran's grant share as of July 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Network traffic playback data visualization methods and systems
The patent US12034617B2 outlines a computer-implemented method for generating and providing network traffic playback data from multiple network devices. The process begins with a server receiving a query from a client device, which includes data that characterizes prior network traffic. The server extracts relevant information from the query, obtains associated network traffic data, and generates playback data by analyzing state value pairs that differ significantly. For each network device, the server identifies data elements that include timestamps and state values, ensuring that prior state values are also captured to facilitate reverse playback. The generated playback data is then filtered based on the query data and sent to the client device, allowing for a comprehensive view of network activity.
Additionally, the patent describes various features of the system, including the ability to handle locational data, identifiers for network devices, and specific time ranges. The method allows for sorting data elements, searching for missing prior state values, and copying values when necessary. The client device can display the filtered playback data and adjust the view based on user input, including the option to play the data in reverse. The playback data can encompass various metrics, such as network latency and bandwidth, as well as environmental data like temperature and wind speed. This innovative approach enhances the analysis and visualization of network traffic, providing users with a powerful tool for monitoring and understanding network behavior.
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