US 11,678,018 B2
Method and system for log based issue prediction using SVM+RNN artificial intelligence model on customer-premises equipment
Sunil Kumar Puttaswamy Gowda, Karnataka (IN); and Muhammed Mufeed Konaje, Kerala (IN)
Assigned to ARRIS Enterprises LLC, Suwanee, GA (US)
Filed by ARRIS Enterprises LLC, Suwanee, GA (US)
Filed on Sep. 8, 2021, as Appl. No. 17/468,957.
Claims priority of provisional application 63/078,721, filed on Sep. 15, 2020.
Prior Publication US 2022/0086529 A1, Mar. 17, 2022
Int. Cl. H04N 21/466 (2011.01); H04N 21/25 (2011.01); G06N 3/045 (2023.01)
CPC H04N 21/4667 (2013.01) [G06N 3/045 (2023.01); H04N 21/251 (2013.01); H04N 21/4665 (2013.01)] 22 Claims
OG exemplary drawing
 
1. A method for log based issue prediction, the method comprising:
receiving, on a processing server, system log files from a customer-premises equipment, the system log files containing events that are logged by an operating system of the customer-premises equipment;
parsing, by the processing server, the events of the system log files to processes and mapping the processes to one or more components of the customer-premises equipment;
extracting, by the processing server, features from the mapped processes of the one or more components of the customer-premises equipment;
classifying, by the processing server, the extracted features with a first machine learning algorithm;
predicting, by the processing server, anomalies in one or more components of the customer-premises equipment with a second machine learning algorithm using the classified features from the first machine learning algorithm; and
executing, by the processing server, a fix of the anomalies in the one or more components of the customer-premises equipment.