Enterprise Architecture based Representation of Architecture and Design Patterns for Machine Learning Systems

Hironori Takeuchi, Takuo Doi, Hironori Washizaki, Satoshi Okuda, Nobukazu Yoshioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we consider projects for the development of machine learning (ML) service systems that apply ML techniques to enterprise functions, and propose a method of representing the architecture and design patterns for ML service systems. Based on the proposed method, we represent the items described in the pattern documents as elements in the enterprise architecture modeling and derived a generic model for ML architecture and designed patterns. By applying the proposed method and the generic pattern model, we analyze an existing ML design pattern and represent it as a model. Through modeling practice, we confirm that an effective use scenario occurs when using the represented model during the project activities, and we can revise or enhance the pattern documents consistently by applying the model.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages245-250
Number of pages6
ISBN (Electronic)9781665444880
DOIs
Publication statusPublished - 2021
Event25th IEEE International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021 - Gold Coast, Australia
Duration: 2021 Oct 252021 Oct 29

Publication series

NameProceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW
ISSN (Print)1541-7719

Conference

Conference25th IEEE International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021
Country/TerritoryAustralia
CityGold Coast
Period21/10/2521/10/29

Keywords

  • Architecture and design pattern
  • Enterprise architecture
  • Machine learning service system

ASJC Scopus subject areas

  • Hardware and Architecture
  • Theoretical Computer Science
  • Software
  • Computer Networks and Communications
  • Computer Science Applications

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