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US Patent 11272026 Personalized microservice

Patent 11272026 was granted and assigned to Pearson on March, 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
112720260
Patent Inventor Names
Suhail Khaki0
James Walsh0
Date of Patent
March 8, 2022
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Patent Application Number
169339010
Date Filed
July 20, 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 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
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US Patent 10048830 System and method for integrating microservices
Patent Citations Received
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US Patent 12028228 System and method to dynamically analyze metadata
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US Patent 11496475 Methods and systems for data traffic based adaptive security
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US Patent 11582199 Scalable proxy clusters
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US Patent 11641343 Methods and systems for API proxy based adaptive security
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US Patent 11783033 Methods and apparatus for analyzing sequences of application programming interface traffic to identify potential malicious actions
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US Patent 11843605 Methods and systems for data traffic based adaptive security
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US Patent 11855968 Methods and systems for deep learning based API traffic security
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US Patent 11924170 Methods and systems for API deception environment and API traffic control and security
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...
Patent Primary Examiner
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Oleg Survillo
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Patent abstract

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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