Invention Grant
- Patent Title: Machine learning system for workload failover in a converged infrastructure
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Application No.: US17224201Application Date: 2021-04-07
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Publication No.: US11379341B2Publication Date: 2022-07-05
- Inventor: Aalap Desai , Anant Agarwal , Alaa Shaabana , Ravi Cherukupalli , Sourav Kumar , Vikram Nair
- Applicant: VMware, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: VMware, Inc.
- Current Assignee: VMware, Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Thomas | Horstemeyer LLP
- Main IPC: G06F11/34
- IPC: G06F11/34 ; G06F9/455 ; G06K9/62 ; G06N20/00

Abstract:
Systems and methods for analyzing a customer deployment in a converged or hyper-converged infrastructure are disclosed. A machine learning model is trained based upon historical usage data of other customer deployments. A k-means clustering is performed to generate a prediction as to whether a deployment is configured for optimal failover. Recommendations to improve failover performance can also be generated.
Public/Granted literature
- US20210255944A1 MACHINE LEARNING SYSTEM FOR WORKLOAD FAILOVER IN A CONVERGED INFRASTRUCTURE Public/Granted day:2021-08-19
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