University of Oulu

Sergio Moreschini, David Hästbacka, and Davide Taibi. 2023. MLOps Pipeline Development: The OSSARA Use Case. In International Conference on Research in Adaptive and Convergent Systems (RACS ’23), August 6–10, 2023, Gdansk, Poland. ACM, New York, NY, USA, Article 4, 8 pages. https://doi.org/10.1145/3599957.3606211

MLOps pipeline development : the OSSARA use case

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Author: Moreschini, Sergio1; Hästbacka, David1; Taibi, Davide2,1
Organizations: 1Tampere University, Tampere, Finland
2University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20231102142399
Language: English
Published: Association for Computing Machinery, 2023
Publish Date: 2023-11-02
Description:

Abstract

Software development based on MLOps practices is entering its early adoption stage. As for it, practitioners and researchers are starting to develop pipelines composed of tools capable of automating the whole software lifecycle. The development of the pipeline however is not as straightforward as it looks and some key points need to be addressed. In this work, we propose our vision for the development of the MLOps pipeline by showing what to keep into account when choosing the tools for each step of a pipeline. The proposition has been backed up by describing a developed use case scenario: the OSSARA use case. We believe that the presented use case, as well as the remarks presented for the process of tool selection for each MLOps phase, will help practitioners and researchers in the process of developing their own pipelines.

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ISBN: 979-8-4007-0228-0
Article number: 31
DOI: 10.1145/3599957.3606211
OADOI: https://oadoi.org/10.1145/3599957.3606211
Host publication: 2023 Research in Adaptive and Convergent Systems (RACS 2023) August 6-10, 2023 Gdansk, Poland : final program
Conference: International Conference on Research in Adaptive and Convergent Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 2023 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
  https://creativecommons.org/licenses/by/4.0/