Invention Grant
- Patent Title: Utilizing machine learning to proactively scale cloud instances in a cloud computing environment
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Application No.: US15991675Application Date: 2018-05-29
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Publication No.: US10862774B2Publication Date: 2020-12-08
- Inventor: Ravi Kiran Palamari , Ragupathi Subburasu , Mayur Gupta
- Applicant: Capital One Services, LLC
- Applicant Address: US VA McLean
- Assignee: Capital One Services, LLC
- Current Assignee: Capital One Services, LLC
- Current Assignee Address: US VA McLean
- Agency: Harrity & Harrity, LLP
- Main IPC: H04L12/26
- IPC: H04L12/26 ; G06F9/455 ; G06N20/00 ; G06F16/90

Abstract:
A device receives, from a cloud computing environment, application usage information associated with application instances in the cloud computing environment for an application, and processes the application usage information, with a machine learning model, to determine behavior patterns and predicted tasks for the application. The device determines a modified quantity of the application instances based on the behavior patterns and the predicted tasks for the application, and causes the modified quantity of the application instances to be implemented in the cloud computing environment based on one or more rules. The device stores information associated with the modified quantity of the application instances in a data structure, and updates the machine learning model based on the information associated with the modified quantity of the application instances stored in the data structure.
Public/Granted literature
- US20190372867A1 UTILIZING MACHINE LEARNING TO PROACTIVELY SCALE CLOUD INSTANCES IN A CLOUD COMPUTING ENVIRONMENT Public/Granted day:2019-12-05
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