US 12,235,863 B2
Automatic estimation of computing resources for auto-discovery
Syam Dulla, Hyderabad (IN); and Srinivas Mudigonda, Hyderabad (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jan. 31, 2022, as Appl. No. 17/588,444.
Prior Publication US 2023/0244685 A1, Aug. 3, 2023
Int. Cl. G06F 16/25 (2019.01); G06N 20/00 (2019.01); H04L 41/16 (2022.01)
CPC G06F 16/254 (2019.01) [G06N 20/00 (2019.01); H04L 41/16 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for automatically estimating computing resources for auto-discovery, the system comprising:
a memory; and
a processor in communication with the memory, the processor being configured to perform operations comprising:
initiating metadata discovery;
identifying an asset category and asset count associated with one or more assets related to the metadata;
training a machine learning model using information related to estimated resources, as provided by a resource estimator and/or through a machine learning data repository, to provide an estimate of required resources for importing the one or more assets;
incorporating the trained machine learning model in the system;
estimating an amount of time and resources required for importing the one or more assets using the trained machine learning model, prior to a performance of one or more import operations;
determining whether the one or more assets can be imported to a select device based on calculated available resources on the select device and the estimated amount of time and resources required for the importing of the one or more assets;
determining whether the one or more import operations were successful; and
terminating the one or more import operations upon the determination that the one or more import operations were successful.