- Patent Title: Machine learning microservice architecture design tools and methods
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Application No.: US15982243Application Date: 2018-05-17
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Publication No.: US10756982B2Publication Date: 2020-08-25
- Inventor: Haishi Bai
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L12/24

Abstract:
According to some embodiments, a machine learning architecture design platform may access a microservice architecture design data store that contains existing microservice architecture designs, and a graphic abstraction computing component may automatically create existing graph models of the existing designs. A pattern recognition computing component may then execute a machine learning algorithm to access the existing graph models and automatically detect existing design patterns. A designer interface computing component may interactively and iteratively exchange information with a designer, including receipt of at least one design requirement from the designer. Based on the at least one received design requirement and the automatically detected existing design patterns, a dynamic recommendation computing component may automatically construct a recommended microservice architecture for the cloud computing environment. In some embodiments, a quality assessment computing component may evaluate a potential microservice architecture design.
Public/Granted literature
- US20190356555A1 MACHINE LEARNING MICROSERVICE ARCHITECTURE DESIGN TOOLS AND METHODS Public/Granted day:2019-11-21
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