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US Patent 10447806 Workload scheduling across heterogeneous resource environments

Patent 10447806 was granted and assigned to Nutanix on October, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Nutanix
Nutanix
Current Assignee
Nutanix
Nutanix
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10447806
Date of Patent
October 15, 2019
Patent Application Number
15619146
Date Filed
June 9, 2017
Patent Citations
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US Patent 10031781 Estimating job start times on workload management systems
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US Patent 10110671 Method, system, and device for managing server hardware resources in a cloud scheduling environment
Patent Citations Received
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US Patent 12105683 System and method for creating template for database services
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US Patent 12019523 System and method for cloning as SQL server AG databases in a hyperconverged system
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US Patent 12026124 System and method for provisioning databases in a hyperconverged infrastructure system
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US Patent 12106203 Neural network model for predicting usage in a hyper-converged infrastructure
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US Patent 10778772 Cloud platform or cloud provider selection
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US Patent 11010336 System and method for provisioning databases in a hyperconverged infrastructure system
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US Patent 11604705 System and method for cloning as SQL server AG databases in a hyperconverged system
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US Patent 11604762 System and method for provisioning databases in a hyperconverged infrastructure system
...
Patent Primary Examiner
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Moustafa M Meky
Patent abstract

Systems for distributed resource management. A method for deploying two or more computing workloads across heterogeneous computing systems commences upon establishing network communications between an on-premises computing system and a cloud computing system. Resource data corresponding to the on-premises resources and the cloud resources are collected continuously and saved as a time series history of observations. Upon a user request or other event, workload placement planning commences. A set of workload placement plans are generated, which workload placement plans are then evaluated in accordance with one or more quantitative objectives. Scheduling commands to carry out the workload placement plans are generated. A first portion of the scheduling commands is executed at the cloud computing system, and another portion of the scheduling commands is executed at the on-premises computing system.

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