The Federal National Mortgage Association has been granted a patent for a network traffic projection and visualization system. The system uses network traffic data to generate a neural network with a network traffic projection, which is displayed to a system administrator. The system also incorporates change management data to recommend change windows. GlobalData’s report on Federal National Mortgage Association gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Federal National Mortgage Association, virtual banking assistant was a key innovation area identified from patents. Federal National Mortgage Association's grant share as of June 2023 was 1%. Grant share is based on the ratio of number of grants to total number of patents.

Patent granted for network traffic projection and visualization system

Source: United States Patent and Trademark Office (USPTO). Credit: Federal National Mortgage Association

A recently granted patent (Publication Number: US11689428B1) describes a network traffic projection and visualization computing system. The system includes a processor and memory with computer-executable instructions. These instructions allow the system to perform several operations based on network traffic data.

Firstly, the system can determine host identifier pairs, which consist of a source host and a destination host, based on the network traffic data. It can also receive change management data related to either the source host or the destination host.

The system then generates a neural network that represents a network traffic projection for the identified hosts. This neural network takes into account the received change management data. Using this generated neural network and the change management data, the system can determine projected traffic activity between the identified hosts and at least one other computing entity.

The change management data can be related to an application associated with the identified hosts. It may include information about application outages. The system can further determine the impact of a subset of the change management data associated with the hosts. This impact is based on factors such as the total number of bytes of traffic between the hosts, CPU utilization, memory utilization, and the determined projected traffic activity.

Based on the determined impact, the system can use the generated neural network to determine an optimal routing path for traffic associated with the application.

Additionally, the system can generate a change window simulator on a user device's display. This simulator displays the determined projected traffic activity and a set of change windows based on the network traffic projection. Each change window corresponds to the identified hosts.

The system can also generate a network traffic activity resource based on the network traffic data. This resource indicates the network traffic activity between the identified hosts for a specific time period. The neural network is generated using information from this network traffic activity resource, which can be in the form of a data file or an API message.

Overall, this patent describes a system and method for projecting and visualizing network traffic activity, allowing for efficient management and optimization of network resources.

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