US 11,736,336 B2
Real-time monitoring of machine learning models in service orchestration plane
Gandhi Sivakumar, Bentleigh (AU); Kushal S. Patel, Pune (IN); Luke Peter Macura, Lucas (AU); and Sarvesh S. Patel, Pune (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Apr. 21, 2021, as Appl. No. 17/236,167.
Prior Publication US 2022/0345353 A1, Oct. 27, 2022
Int. Cl. H04L 41/02 (2022.01); H04L 41/0213 (2022.01); H04W 24/02 (2009.01); G06N 20/00 (2019.01)
CPC H04L 41/0213 (2013.01) [G06N 20/00 (2019.01); H04W 24/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for performing real-time monitoring of machine learning models, the method comprising:
collecting real-time model state data and metadata of said machine learning models located within an orchestration plane of a network by agents located within said machine learning models;
marking a portion of said collected real-time model state data and metadata that was selected to be provided to a user of a computing device; and
providing said marked collected real-time model state data and metadata to said user of said computing device.