Empowering Machine Learning Development with Service-Oriented Computing Principles

Mostafa Hadadian Nejad Yousefi, Viktoriya Degeler, Alexander Lazovik*

*Bijbehorende auteur voor dit werk

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Despite software industries’ successful utilization of Service-Oriented Computing (SOC) to streamline software development, machine learning (ML) development has yet to fully integrate these practices. This disparity can be attributed to multiple factors, such as the unique challenges inherent to ML development and the absence of a unified framework for incorporating services into this process. In this paper, we shed light on the disparities between services-oriented computing and machine learning development. We propose “Everything as a Module” (XaaM), a framework designed to encapsulate every ML artifacts including models, code, data, and configurations as individual modules, to bridge this gap. We propose a set of additional steps that need to be taken to empower machine learning development using services-oriented computing via an architecture that facilitates efficient management and orchestration of complex ML systems. By leveraging the best practices of services-oriented computing, we believe that machine learning development can achieve a higher level of maturity, improve the efficiency of the development process, and ultimately, facilitate the more effective creation of machine learning applications.
Originele taal-2English
TitelService-Oriented Computing
Subtitel17th Symposium and Summer School, SummerSOC 2023 Heraklion, Crete, Greece, June 25 – July 1, 2023
RedacteurenMarco Aiello, Johanna Barzen, Schahram Dustdar, Frank Leymann
Plaats van productieCham
UitgeverijSpringer
Hoofdstuk2
Pagina's24-44
Aantal pagina's20
ISBN van geprinte versie9783031457272, 9783031457289
DOI's
StatusPublished - 12-okt.-2023
Evenement17th Symposium and Summer School: SOC 2023 - Crete, Greece
Duur: 25-jun.-20231-jul.-2023

Publicatie series

NaamCommunications in Computer and Information Science
UitgeverijSpringer
Volume1847
ISSN van geprinte versie1865-0929
ISSN van elektronische versie1865-0937

Conference

Conference17th Symposium and Summer School
Land/RegioGreece
StadCrete
Periode25/06/202301/07/2023

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