Invention Grant
- Patent Title: Using reinforcement learning to scale queue-based services
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Application No.: US16587906Application Date: 2019-09-30
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Publication No.: US11153375B2Publication Date: 2021-10-19
- Inventor: Michael Friedrich , Stefanie Grunwald
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: H04L29/08
- IPC: H04L29/08 ; G06N20/00

Abstract:
Techniques for adjusting a compute capacity of a cloud computing system. In an example, a compute scaling application accesses, from a cloud computing system, a compute capacity indicating a number of allocated compute instances of a cloud computing system and usage metrics indicating pending task requests in a queue of the cloud computing system. The compute scaling application determines, for the cloud computing system, a compute scaling adjustment by applying a machine learning model to the compute capability of the cloud computing system and the usage metrics. The compute scaling adjustment indicates an adjustment to a number of compute instances of the cloud computing system. The compute scaling application provides the compute scaling adjustment to the cloud computing system. The cloud computing system adjusts a number of allocated compute instances.
Public/Granted literature
- US20210099517A1 USING REINFORCEMENT LEARNING TO SCALE QUEUE-BASED SERVICES Public/Granted day:2021-04-01
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