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US Patent 10303492 Managing custom runtimes in an on-demand code execution system

Patent 10303492 was granted and assigned to Amazon on May, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103034920
Patent Inventor Names
Bryan Nicholas Moffatt0
Niranjan Jayakar0
Robison Rodrigues dos Santos0
Timothy Allen Wagner0
Marc John Brooker0
Date of Patent
May 28, 2019
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Patent Application Number
158411320
Date Filed
December 13, 2017
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Patent Citations Received
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US Patent 12128885 Method and system for determining a usable distance in front of a vehicle
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US Patent 11467890 Processing event messages for user requests to execute program code
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US Patent 11861386 Application gateways in an on-demand network code execution system
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US Patent 11860879 On-demand execution of object transformation code in output path of object storage service
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US Patent 11943093 Network connection recovery after virtual machine transition in an on-demand network code execution system
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US Patent 12015603 Multi-tenant mode for serverless code execution
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US Patent 12026646 Titanium task-engine system
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US Patent 12112554 Method for determining a drivable area
0
...
Patent Primary Examiner
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Qamrun Nahar
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Patent abstract

Systems and methods are described for managing provisioning of runtimes to execution environments within an on-demand code execution system. Different runtimes can include various software enabling execution of user-submitted code within the on-demand code execution system, potentially written in different programming languages. Each runtime can implement a pull-based request handler, such that when the runtime is provisioned within an execution environment, the runtime requests execution instructions from a management system on the on-demand code execution system. The management system can maintain a queue of execution instructions for each runtime, and can use a depth of each queue to manage the provisioning of environments with runtimes.

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