US 11,797,492 B2
Cognitive method to perceive storages for hybrid cloud management
Jun Yang, Beijing (CN); Hui Lin, Beijing (CN); Peng Fei Tian, Beijing (CN); and Yue Wang, Beijing (CN)
Assigned to International Business Machines Corportion, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on May 3, 2020, as Appl. No. 16/865,395.
Prior Publication US 2021/0342310 A1, Nov. 4, 2021
Int. Cl. G06F 16/182 (2019.01); G06F 16/17 (2019.01); G06N 3/08 (2023.01); G06F 7/544 (2006.01); G06F 11/30 (2006.01)
CPC G06F 16/1827 (2019.01) [G06F 7/5443 (2013.01); G06F 11/3034 (2013.01); G06F 16/1734 (2019.01); G06N 3/08 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method, in a data processing system, for hybrid cloud management, the method comprising:
generating hybrid cloud storage features and hybrid cloud environment factors;
performing a dynamic confidence method on the hybrid cloud features based on the hybrid cloud environment factors using a deep learning model to generate a hybrid cloud storage profile, wherein the hybrid cloud storage profile provides, for each storage, a prediction for each combination of category and genre;
performing model optimization on the deep learning model;
generating a files-storage matrix;
generating a hybrid cloud file profile based on the hybrid cloud storage profile and the files-storage matrix, wherein the hybrid cloud file profile provides, for each file, a prediction for each combination of category and genre, and wherein generating the hybrid cloud file profile comprises performing a dot product on the hybrid cloud storage profile and the files-storage matrix;
generating a target file matrix based on the hybrid cloud storage profile and the hybrid cloud file profile, wherein the target file matrix provides, for each file, a prediction for each storage; and
storing files based on the target file matrix.