Invention Grant
- Patent Title: Multi dimensional scale analysis using machine learning
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Application No.: US16270614Application Date: 2019-02-08
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Publication No.: US11315044B2Publication Date: 2022-04-26
- Inventor: Prashant Ambardekar , Darshika Khandelwal , Rushikesh Wagh , Paryushan Sarsamkar , Nikhil Bokare
- Applicant: VMWARE, INC.
- Applicant Address: US CA Palo Alto
- Assignee: VMWARE, INC.
- Current Assignee: VMWARE, INC.
- Current Assignee Address: US CA Palo Alto
- Agency: Patterson + Sheridan, LLP
- Priority: IN201841042134 20181108
- Main IPC: G06N20/10
- IPC: G06N20/10 ; G06F21/60 ; G06F9/50 ; H04L12/801 ; H04L29/06 ; G06N5/00 ; G06N20/00 ; H04L47/127

Abstract:
The disclosure provides an approach for collecting system state data relating to whether certain system states overload a processor assigned to a controller of the system. The approach further involves using the collected data to train a regression machine learning algorithm to predict whether indented or desired system states will result in processor overload. Depending on the prediction, the approach takes one of several steps to efficiently change system state.
Public/Granted literature
- US20200151609A1 MULTI DIMENSIONAL SCALE ANALYSIS USING MACHINE LEARNING Public/Granted day:2020-05-14
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