US 12,107,736 B1
Systems and methods for visualization based on historical network traffic and future projection of infrastructure assets
Ronald Klinger, Washington, DC (US); and Bijal Shah, Washington, DC (US)
Assigned to Fannie Mae, Washington, DC (US)
Filed by Fannie Mae, Washington, DC (US)
Filed on May 10, 2023, as Appl. No. 18/195,752.
Application 18/195,752 is a continuation of application No. 17/509,794, filed on Oct. 25, 2021, granted, now 11,689,428.
Application 17/509,794 is a continuation of application No. 16/519,930, filed on Jul. 23, 2019, granted, now 11,159,387.
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 15/173 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 3/10 (2006.01); H04L 41/147 (2022.01); H04L 41/22 (2022.01); H04L 43/04 (2022.01)
CPC H04L 41/147 (2013.01) [G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 3/10 (2013.01); H04L 41/22 (2013.01); H04L 43/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing system, comprising at least one processor and at least one memory, the at least one memory comprising computer-executable instructions, the instructions, when executed by the at least one processor, causes the at least one processor to:
receive change management data relating to at least one of a source host or a destination host;
generate a neural network comprising a network traffic projection for the at least one of the source host or the destination host; and
based on the network traffic projection and the received change management data, determine an optimal change window in which network traffic is expected to be minimized, the optimal change window associated with a downtime window in which the at least one of the source host or the destination host can update without impacting respective applications or data interchange processes.