US 12,468,981 B2
Database resource management using predictive models
Hong Mei Zhang, Haidian District (CN); Shuo Li, Beijing (CN); Xiaobo Wang, Beijing (CN); and Sheng Yan Sun, BeiJing (CN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Dec. 21, 2021, as Appl. No. 17/557,303.
Prior Publication US 2023/0196182 A1, Jun. 22, 2023
Int. Cl. G06N 20/00 (2019.01); G06F 9/48 (2006.01); G06F 16/25 (2019.01); G06F 16/27 (2019.01)
CPC G06N 20/00 (2019.01) [G06F 9/4881 (2013.01); G06F 16/256 (2019.01); G06F 16/27 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
building, by a computing device, a dynamic machine learning predictive model for a first new node connection in a distributed database environment based on configuration data of the first new node connection;
determining, by the computing device, a group of nodes in the distributed database environment of a same type of node as the first new node connection;
federating, by the computing device, the dynamic machine learning predictive model of the first new node connection with other dynamic machine learning predictive models of other nodes in the group of nodes, thereby generating a federated predictive model for the type of node; and
generating, by the computing device, a predicted connection configuration for a second new node connection of the same type of node using the federated predictive model, the predicted connection configuration including information on connection status and thread usage.