Automatically Optimizing Resource Usage on a Target Database Management System to Increase Workload Performance
Patent №
US 10,691,658
Granted
2020-06-23
Filed 2018
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
2
kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15974828
Loading a set of data into a target database management system (DBMS) from a source DBMS to increase workload performance and decrease resource usage is provided. Using a size and a change rate of tables eligible to be offloaded to the target DBMS, a total central processor unit (CPU) cost corresponding to loading the set of data into to the target DBMS and workload cost savings corresponding to executing one or more workloads on the target DBMS is determined based on a set of one or more load strategies. The total CPU cost is compared with the workload cost savings of each load strategy. An optimal load strategy is selected based on comparing the total CPU cost with the workload cost savings of each load strategy. The set of data is automatically loaded into to the target DBMS from the source DBMS in accordance with the selected optimal load strategy.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 457500514
Assignors
KAMESWARAN, SOWMYA, BENDEL, PETER
On an employer assignment, the assignors are typically the inventors.