US 11,855,909 B2
System and method for managing network resources
Marie-Claude Cote, Montreal (CA); Thomas Fortier, Montreal (CA); and Alexei Nordell-Markovits, Montreal (CA)
Assigned to SERVICENOW CANADA INC., Montreal (CA)
Filed by SERVICENOW CANADA INC., Montreal (CA)
Filed on Feb. 16, 2022, as Appl. No. 17/673,591.
Application 17/673,591 is a continuation of application No. 16/585,585, filed on Sep. 27, 2019, abandoned.
Claims priority of provisional application 62/738,685, filed on Sep. 28, 2018.
Prior Publication US 2022/0174024 A1, Jun. 2, 2022
Int. Cl. H04L 47/78 (2022.01); H04L 47/80 (2022.01); H04L 47/70 (2022.01); H04L 41/147 (2022.01); H04L 41/5025 (2022.01); H04L 41/0816 (2022.01); H04L 41/16 (2022.01)
CPC H04L 47/781 (2013.01) [H04L 41/0816 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 41/5025 (2013.01); H04L 47/801 (2013.01); H04L 47/808 (2013.01); H04L 47/822 (2013.01); H04L 47/823 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for managing network resources enabling network services over a network, the method comprising:
determining a desired performance level of the network services, the desired performance level being associated with service metrics that establish compliance with a service level agreement;
accessing internal data relating to operations of the network and external data not relating to operations of the network;
predicting, based on the external data, network service degradation caused by external events;
generating a prediction of a network service pattern based on the desired performance level of the network services, the internal data and the external data;
identifying a decision scenario for orchestration of the network resources, the decision scenario establishing a configuration of the network resources, the decision scenario being generated based on a correlation of the prediction of the network service pattern, the network service degradation, and availability of the network resources;
causing to adapt the network resources based on the decision scenario;
monitoring a customer experience corresponding to the network services;
modifying the decision scenario based on the customer experience, thereby generating a modified decision scenario; and
causing to adapt the network resources based on the modified decision scenario.