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US Patent 12069128 Automatic scaling of resource instance groups within compute clusters

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120691280
Patent Inventor Names
Jonathan Daly Einkauf0
Abhishek Rajnikant Sinha0
Saurabh Dileep Baji0
Bhargava Ram Kalathuru0
Luca Natali0
Date of Patent
August 20, 2024
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Patent Application Number
173520650
Date Filed
June 18, 2021
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Patent Citations
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US Patent 8880678 System and method for managing and monitoring a web application using multiple cloud providers
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US Patent 9372735 Auto-scaling of pool of virtual machines based on auto-scaling rules of user associated with the pool
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US Patent 9804890 Termination policies for scaling compute resources
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US Patent 9848041 Automatic scaling of resource instance groups within compute clusters
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US Patent 9851988 Recommending computer sizes for automatically scalable computer groups
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US Patent 9871745 Automatic scaling of at least one user application to external clouds
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US Patent 9912607 Automatic scaling of at least one user application to external clouds
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US Patent 9971621 Hotpooling virtual machines
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...
Patent Primary Examiner
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Brendan Y Higa
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CPC Code
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H04L 41/22
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Patent abstract

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.

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