Patents by Inventor JONATHAN DALY EINKAUF
JONATHAN DALY EINKAUF has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210392185Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: ApplicationFiled: June 18, 2021Publication date: December 16, 2021Applicant: Amazon Technologies, Inc.Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
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Patent number: 11044310Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: GrantFiled: February 28, 2020Date of Patent: June 22, 2021Assignee: Amazon Technologies, Inc.Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
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Publication number: 20200204623Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: ApplicationFiled: February 28, 2020Publication date: June 25, 2020Applicant: Amazon Technologies, Inc.Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
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Patent number: 10581964Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: GrantFiled: December 18, 2017Date of Patent: March 3, 2020Assignee: Amazon Technologies, Inc.Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
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Publication number: 20180109610Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: ApplicationFiled: December 18, 2017Publication date: April 19, 2018Applicant: Amazon Technologies, Inc.Inventors: JONATHAN DALY EINKAUF, LUCA NATALI, BHARGAVA RAM KALATHURU, SAURABH DILEEP BAJI, ABHISHEK RAJNIKANT SINHA
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Patent number: 9848041Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: GrantFiled: May 1, 2015Date of Patent: December 19, 2017Assignee: Amazon Technologies, Inc.Inventors: Jonathan Daly Einkauf, Luca Natali, Bhargava Ram Kalathuru, Saurabh Dileep Baji, Abhishek Rajnikant Sinha
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Publication number: 20160323377Abstract: A service provider may apply customer-selected or customer-defined auto-scaling policies to a cluster of resources (e.g., virtualized computing resource instances or storage resource instances in a MapReduce cluster). Different policies may be applied to different subsets of cluster resources (e.g., different instance groups containing nodes of different types or having different roles). Each policy may define an expression to be evaluated during execution of a distributed application, a scaling action to take if the expression evaluates true, and an amount by which capacity should be increased or decreased. The expression may be dependent on metrics emitted by the application, cluster, or resource instances by default, metrics defined by the client and emitted by the application, or metrics created through aggregation. Metric collection, aggregation and rules evaluation may be performed by a separate service or by cluster components. An API may support auto-scaling policy definition.Type: ApplicationFiled: May 1, 2015Publication date: November 3, 2016Applicant: AMAZON TECHNOLOGIES, INC.Inventors: JONATHAN DALY EINKAUF, LUCA NATALI, BHARGAVA RAM KALATHURU, SAURABH DILEEP BAJI, ABHISHEK RAJNIKANT SINHA