Microsoft patents AI system to balance computer workload demands

Microsoft describes a two-part system that uses machine learning to manage how much computer power a service gets. One part learns what performance level is needed, while the other adjusts the actual resources to meet that goal.

In the filing’s own words

A bi-level machine learning (“ML”)-assisted framework for resource management is provided that includes an application-level controller that operates in concert with a service-level controller to scale the allocation of a computing resource to a network service in a manner that satisfies a service-level objective (“SLO”). The application-level controller utilizes a ML model to learn a performance target that is transmitted to the service-level controller. The service-level controller adjusts the allocation of the computing resource to the network service based on the performance target and resource utilization data associated with the network service.

Facts

Company

Microsoft (Microsoft Technology Licensing, LLC)

Official title

BI-LEVEL MACHINE-LEARNING-ASSISTED MANAGEMENT OF COMPUTING RESOURCES

Publication number

US20260288527A1

Application number

19475748

Filed

May 12, 2023

Published

Sep 24, 2026

Inventors

4

Claims

21

Classified under

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.