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US Patent 11509739 Systems and methods for automated module-based content provisioning

Patent 11509739 was granted and assigned to Pearson on November, 2022 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
Pearson
Pearson
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Current Assignee
Pearson
Pearson
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115097390
Patent Inventor Names
James Walsh0
Suhail Khaki0
Date of Patent
November 22, 2022
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Patent Application Number
168274410
Date Filed
March 23, 2020
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Patent Citations
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US Patent 10013550 Systems and methods for adding microservices into existing system environments
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US Patent 10048830 System and method for integrating microservices
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US Patent 10601942 Systems and methods for automated module-based content provisioning
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US Patent 10708804 Systems and methods for radio resource management
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US Patent 10841392 System and method for redundant API linked microservice communication
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US Patent 10969982 Data deduplication with collision resistant hash digest processes
Patent Primary Examiner
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Atta Khan
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CPC Code
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H04L 67/34
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H04L 67/02
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H04L 67/04
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H04L 67/42
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G06F 16/40
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G06F 16/907
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G06F 16/9574
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G06F 16/9566
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A global architecture (GLP), as disclosed herein, is based on the thin server architectural pattern; it delivers all its services in the form of web services and there are no user interface components executed on the GLP. Each web service exposed by the GLP is stateless, which allows the GLP to be highly scalable. The GLP is further decomposed into components. Each component is a microservice, making the overall architecture fully decoupled. Each microservice has fail-over nodes and can scale up on demand. This means the GLP has no single point of failure, making the platform both highly scalable and available. The GLP architecture provides the capability to build and deploy a microservice instance for each course-recipient-user combination. Because each student interacts with their own microservice, this makes the GLP scale up to the limit of cloud resources available—i.e. near infinity.

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