US 12,413,513 B2
Predictive routing using risk and longevity metrics
Jean-Philippe Vasseur, Saint Martin d'Uriage (FR); Stéphane Bernard Martin, Lausanne (CH); Eduard Schornig, Haarlem (NL); Grégory Mermoud, Venthône (CH); and Vinay Kumar Kolar, San Jose, CA (US)
Assigned to Cisco Technology, Inc., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Nov. 2, 2021, as Appl. No. 17/517,186.
Prior Publication US 2023/0140115 A1, May 4, 2023
Int. Cl. H04L 45/50 (2022.01); H04L 45/00 (2022.01); H04L 45/12 (2022.01); H04L 47/122 (2022.01); H04L 47/2425 (2022.01)
CPC H04L 45/50 (2013.01) [H04L 45/123 (2013.01); H04L 45/38 (2013.01); H04L 47/122 (2013.01); H04L 47/2425 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
making, by a device, a prediction regarding a number of service level agreement violations by a network transport among a plurality of possible network transports available between a site and an online application;
associating, by the device and based on a type of the network transport, a risk metric with the prediction, wherein the risk metric is indicative of a risk that the prediction is unreliable;
computing, by the device, a longevity metric that indicates an expected amount of time that the prediction regarding the number of service level agreement violations by the network transport is expected to stay valid; and
causing, by the device, traffic to be routed between the site and the online application using the network transport, based on the prediction, its associated risk metric, and its longevity metric each falling within respective thresholds.