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.
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According to GlobalData’s company profile on Adtran, was a key innovation area identified from patents. Adtran's grant share as of June 2024 was 74%. 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. This involves identifying data elements that specify timestamps and state values for each network device, ensuring that prior state values differ significantly from subsequent state values. The server then filters the playback data based on the query and delivers the filtered results to the client device, enabling reverse visual playback of the network traffic data.
Additionally, the patent describes various features of the system, including the ability to handle locational data, device identifiers, and time ranges for the queries. The method allows for sorting data elements, searching for missing prior state values, and copying values when necessary. The client device can display the playback data and adjust the presentation based on user input, including the option to play the data in reverse. Furthermore, the playback data can encompass a range of information, such as network latency and environmental data, enhancing its utility for monitoring and analysis. The system is designed to facilitate a comprehensive understanding of network behavior over time, providing valuable insights for users.
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