US 12,476,918 B2
AI-assisted WAN link selection for SD-WAN services
Jisheng Wang, Palo Alto, CA (US); Michael Baj, Bedford, MA (US); Patrick Timmons, Newton, MA (US); Patrick J. MeLampy, Dunstable, MA (US); Kaushik Adesh Agrawal, Chelmsford, MA (US); and Ruchit Rajkumar Mehta, Emeryville, CA (US)
Assigned to Juniper Networks, Inc., Sunnyvale, CA (US)
Filed by Juniper Networks, Inc., Sunnyvale, CA (US)
Filed on Apr. 5, 2024, as Appl. No. 18/628,122.
Application 18/628,122 is a division of application No. 17/491,265, filed on Sep. 30, 2021, granted, now 11,991,084.
Prior Publication US 2024/0250910 A1, Jul. 25, 2024
Int. Cl. H04L 47/2425 (2022.01)
CPC H04L 47/2425 (2013.01) 20 Claims
OG exemplary drawing
 
1. A Software-defined (SD) Wide Area Network (WAN) (SD-WAN) edge device comprising:
processing circuitry; and
memory storing instructions, that when executed, cause the processing circuitry to:
obtain link characterization data for a first WAN link communicatively coupled to the SD-WAN edge device over a time period,
determine, based on processing the link characterization data for the first WAN link using a machine learning model trained with historical characterization data for one or more WAN links, an indicator of a performance metric of the first WAN link at a future time and a time interval associated with the indicator of the performance metric, and
assign, based on a determination of whether the time interval is predicted to begin after or before a session associated with an application assigned to the first WAN link is predicted to end, the application to remain on the first WAN link or move to a second WAN link communicatively coupled to the SD-WAN edge device instead of the first WAN link, respectively.