Invention Grant
- Patent Title: Machine learning computing model for virtual machine underutilization detection
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Application No.: US15998881Application Date: 2018-08-16
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Publication No.: US11055126B2Publication Date: 2021-07-06
- Inventor: Marat Khandros , Amirreza Oghbaee , Ali Syed , Kamran Pirasteh , Weitao Lin , Alexander Michael Krush , Jacob Alexander Abbott
- Applicant: ROYAL BANK OF CANADA
- Applicant Address: CA Montreal
- Assignee: ROYAL BANK OF CANADA
- Current Assignee: ROYAL BANK OF CANADA
- Current Assignee Address: CA Montreal
- Agency: Norton Rose Fulbright Canada LLP
- Main IPC: G06F9/455
- IPC: G06F9/455 ; G06F11/34 ; G06N5/04 ; G06F9/50 ; G06K9/62 ; G06N3/04 ; G06F16/28 ; G06N20/00 ; G06F16/25 ; G06F11/30 ; G06N3/02
Abstract:
Systems and methods are provided for detecting sub-optimal performance of one or more virtual computing platforms. Usage data representing user activity, and performance data representing computing hardware resource utilization, is collected from a plurality of virtual machines hosted on one or more virtual computing platforms. The usage data and performance data is then analyzed along with configuration data representing the hardware components of the computing devices operating the virtual computing platform.
Public/Granted literature
- US20190056969A1 Virtual machine underutilization detector Public/Granted day:2019-02-21
Information query
