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US Patent 10365985 Predictive management of on-demand code execution

Patent 10365985 was granted and assigned to Amazon on July, 2019 by the United States Patent and Trademark Office.

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Contents

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
10365985
Date of Patent
July 30, 2019
Patent Application Number
15804761
Date Filed
November 6, 2017
Patent Citations
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US Patent 10048974 Message-based computation request scheduling
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US Patent 10061613 Idempotent task execution in on-demand network code execution systems
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US Patent 10067801 Acquisition and maintenance of compute capacity
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US Patent 10102040 Adjusting variable limit on concurrent code executions
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US Patent 10140137 Threading as a service
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US Patent 10108443 Low latency computational capacity provisioning
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US Patent 10162672 Generating data streams from pre-existing data sets
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US Patent 10162688 Processing event messages for user requests to execute program code
...
Patent Citations Received
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US Patent 12086635 Computer-based systems and/or computing devices configured for the scaling of computing resources using a machine learning model trained to monitor and/or predict usage of inference models
0
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US Patent 11467890 Processing event messages for user requests to execute program code
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US Patent 11943093 Network connection recovery after virtual machine transition in an on-demand network code execution system
0
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US Patent 12015603 Multi-tenant mode for serverless code execution
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US Patent 11461124 Security protocols for low latency execution of program code
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US Patent 10547522 Pre-starting services based on traversal of a directed graph during execution of an application
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US Patent 10564946 Dependency handling in an on-demand network code execution system
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US Patent 10592269 Dynamic code deployment and versioning
...
Patent Primary Examiner
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Charles M Swift
Patent abstract

Systems and methods are described for monitoring code execution within an on-demand code execution environment or other distributed code execution environment. The distributed, asynchronous nature of such environment can make determining the interactions between code executions difficult relative to traditional, non-distributed systems. The present disclosure enables the interrelations between code executions to be monitored by injecting monitoring information into the calls between those code executions. The monitoring information may be propagated through calls, such that a “path” or “trace” of code executions and calls can be determined. Data generated based on the monitoring information can be used to generate a profile for a set of code, so that a developer or other user may easily debug or optimize execution of the code.

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