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US Patent 10402187 Efficient workload deployment using containers and unikernels

Patent 10402187 was granted and assigned to Trilio Data on September, 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
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Jisto
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Current Assignee
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Trilio Data
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104021870
Patent Inventor Names
Andrey Turovsky0
Aleksandr Biberman0
Date of Patent
September 3, 2019
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Patent Application Number
156626490
Date Filed
July 28, 2017
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Patent Citations
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US Patent 10007509 Container handover for device updates
Patent Citations Received
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US Patent 11789774 Optimization of workload scheduling in a distributed shared resource environment
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US Patent 12073232 Unikernel for webassembly containers
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US Patent 11880282 Container-based application data protection method and system
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US Patent 10791039 Systems and methods for cloud service provisioning using software containers
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US Patent 11055256 Edge component computing system having integrated FaaS call handling capability
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US Patent 11650951 Edge component computing system having integrated FaaS call handling capability
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US Patent 11366782 Edge component computing system having integrated FaaS call handling capability
Patent Primary Examiner
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Wei Y. Zhen
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Patent abstract

A bottom-up approach is taken to creating a condensed container, in which an automatic determination is made of the minimum set of requirements and dependencies, in forms of libraries and packages, for deployed applications/services and any corresponding user-specified content. The most fitting libraries and packages are merged with the applications/services, and the merged results are containerized using a minimized version of a container base image. Specialized unikernel generation includes automatically determining the minimum set of requirements and dependencies, in forms of libraries and packages, for the deployed applications/services and any corresponding user-specified content. The best available library operating system is identified, and compilation occurs to generate the unikernel. In effect, optimized (in terms of most fitting to applications/services, for any combination of size, speed, resource utilization, and performance) containers and unikernel images from applications/services by leveraging traditional unikernel technologies are produced.

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