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US 12,627,729 B2Granted
Automated server workload management using machine learning
AssigneeCapital One Services, LLC
InventorsSubodh Kumar, Santosh Bardwaj
Life of this patent
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AssigneeCapital One Services, LLC
InventorsSubodh Kumar, Santosh Bardwaj
Estimating the term…
Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.
A computing system implemented as a server cluster, wherein the server cluster comprises a part of a workload management system, the computing system comprising:
One or more non-transitory computer-readable media storing computer program instructions that, when executed by one or more processors of a server cluster, effectuate operations comprising:
A method, comprising:
Dependencies are inferred from the claim text.