Database Tuning Using a Federated Machine Learning System of a Centerless Network
AssigneeInternational Business Machines Corporation
InventorsShengYan Sun, Ke Wei Wei, Meng Wan, Shuo Li, Xiaobo Wang
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AssigneeInternational Business Machines Corporation
InventorsShengYan Sun, Ke Wei Wei, Meng Wan, Shuo Li, Xiaobo Wang
Estimating the term…
Database configuration tuning is provided. A set of database nodes having similar data factors is selected in a centerless network of database nodes. Configuration models corresponding to the set of database nodes are trained using data parallelism. Trained configuration models corresponding to the set of database nodes are combined to form a federated configuration model. It is determined whether performance indicators corresponding to the set of database nodes are greater than a performance threshold level. In response to determining that the performance indicators corresponding to the set of database nodes are greater than the performance threshold level, a database configuration corresponding to the federated configuration model is recommended to a new database node. The new database node is joined to the centerless network.
A computer-implemented method for database configuration tuning, the computer-implemented method comprising:
A computer system for database configuration tuning, the computer system comprising:
A computer program product for database configuration tuning, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:
Dependencies are inferred from the claim text.