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US Patent 10581964 Automatic scaling of resource instance groups within compute clusters

Patent 10581964 was granted and assigned to Amazon on March, 2020 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10581964
Date of Patent
March 3, 2020
Patent Application Number
15845855
Date Filed
December 18, 2017
Patent Citations Received
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US Patent 11995466 Scaling down computing resource allocations for execution of containerized applications
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US Patent 11989586 Scaling up computing resource allocations for execution of containerized applications
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US Patent 12069128 Automatic scaling of resource instance groups within compute clusters
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US Patent 12020070 Managing computer workloads across distributed computing clusters
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US Patent 11570078 Collecting route-based traffic metrics in a service-oriented system
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US Patent 11044310 Automatic scaling of resource instance groups within compute clusters
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US Patent 11853807 Cluster scaling based on task state information
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Patent Primary Examiner
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Brendan Y Higa
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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