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US Patent 9256467 System for managing and scheduling containers

Patent 9256467 was granted and assigned to Amazon on February, 2016 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
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
9256467
Date of Patent
February 9, 2016
Patent Application Number
14538663
Date Filed
November 11, 2014
Patent Citations Received
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US Patent 12131176 Cluster leader selection via ping tasks of service instances
3
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US Patent 12124884 Managing deployment of workloads
4
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US Patent 12126672 Instance backed mobile devices
5
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US Patent 12132780 Distributed service chain across multiple clouds
6
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US Patent 11659061 Method of adjusting service function chains to improve network performance
7
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US Patent 11669365 Task pool for managed compute instances
8
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US Patent 11669246 Storage allocation enhancement of microservices
9
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US Patent 11704313 Parallel branch operation using intermediary nodes
10
...
Patent Primary Examiner
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Satish Rampuria
Patent abstract

A system and method for a container service that obtains a software image of a software container that has been configured to be executed within a computer system instance registered to a cluster by one or more processors. The container service is configured to receive a request to launch the software image in accordance with a task definition, wherein the task definition specifies an allocation of resources for the software container. The container service may then determine, according to a placement scheme, a subset of a set of container instances registered to the cluster in which to launch the software image in accordance with the task definition. Upon determining the subset of the set of container instances, the container service may launch the software image as one or more running software containers in the set of container instances in accordance with the task definition.

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