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US Patent 10162672 Generating data streams from pre-existing data sets

Patent 10162672 was granted and assigned to Amazon on December, 2018 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
101626720
Patent Inventor Names
Ajay Nair0
Marc John Brooker0
Timothy Allen Wagner0
Date of Patent
December 25, 2018
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Patent Application Number
150858850
Date Filed
March 30, 2016
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Patent Citations Received
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US Patent 12015603 Multi-tenant mode for serverless code execution
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US Patent 11467890 Processing event messages for user requests to execute program code
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US Patent 11836516 Reducing execution times in an on-demand network code execution system using saved machine states
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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 11875173 Execution of auxiliary functions in an on-demand network code execution system
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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 11461124 Security protocols for low latency execution of program code
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Patent Primary Examiner
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Emerson C Puente
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Patent abstract

Systems and methods are described for transforming a data set within a data source into a series of task calls to an on-demand code execution environment or other distributed code execution environment. Such environments utilize pre-initialized virtual machine instances to enable execution of user-specified code in a rapid manner, without delays typically caused by initialization of the virtual machine instances, and are often used to process data in near-real time, as it is created. However, limitations in computing resources may inhibit a user from utilizing an on-demand code execution environment to simultaneously process a large, existing data set. The present application provides a task generation system that can iteratively retrieve data items from an existing data set and generate corresponding task calls to the on-demand computing environment, while ensuring that at least one task call for each data item within the existing data set is made.

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