US 11,991,084 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 Sep. 30, 2021, as Appl. No. 17/491,265.
Prior Publication US 2023/0107735 A1, Apr. 6, 2023
Int. Cl. H04L 47/2425 (2022.01)
CPC H04L 47/2425 (2013.01) 20 Claims
OG exemplary drawing
 
15. Non-transitory computer-readable storage media comprising instructions that, when executed, configure processing circuitry of a software-defined network in a wide area network (SD-WAN) system to:
receive wide area network (WAN) link characterization data for a first WAN link of a SD-WAN service over a first time period;
based on a determination that a current value of a performance metric at a current time has violated a service level agreement (SLA) rule for an application: determine, by a network analysis system of the SD-WAN system and based on processing the WAN link characterization data for the first WAN link using a machine learning model trained with historical WAN link characterization data for one or more WAN links, a predicted value of the performance metric of the first WAN link at a future time; and
provide the predicted value of the performance metric from the network analysis system to an SD-WAN edge device of the SD-WAN system to use in determining whether to reassign, based on the predicted value, the application from the first WAN link to a second WAN link for the SD-WAN service.