US 12,261,751 B2
Learning probing strategies for QoE assessment
Grégory Mermoud, Venthône (CH); and Jean-Philippe Vasseur, Combloux (FR)
Assigned to Cisco Technology, Inc., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Mar. 6, 2023, as Appl. No. 18/117,616.
Prior Publication US 2024/0305542 A1, Sep. 12, 2024
Int. Cl. H04L 41/16 (2022.01); H04L 41/50 (2022.01); H04L 41/5009 (2022.01)
CPC H04L 41/5009 (2013.01) [H04L 41/16 (2013.01); H04L 41/5012 (2013.01); H04L 41/5096 (2013.01); H04L 41/5032 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
causing, by a device and in accordance with a probing strategy, performance of a probing test by one or more agents in a network and with respect to an online application;
obtaining, by the device, quality of experience measurements for the online application;
adjusting, by the device and using reinforcement learning, the probing strategy based on how well a predictive model was able to predict the quality of experience measurements given results of the probing test; and
repeating the causing, obtaining, and adjusting steps using the probing strategy adjusted by the device, to find a minimally disruptive probing strategy that provides acceptable performance by the predictive model.