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April 27, 2026SoftwareXOpen Access

Towards an MLOps infrastructure for Elastic Pattern experimentation

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Authors

RRRuben Rodriguez-CardosJGJared D.T. Guerrero-SosaAMAndrés Montoro-Montarroso

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Overview

Automated platform enables reproducible experiments in Elastic Pattern research, enhancing scalability and analysis.

Key Points

  • The aim is to create a systematic and reproducible experimentation platform for validating Elastic Patterns.
  • Developed an automated experimentation platform based on MLOps principles.
  • Utilized Docker for containerization and Apache Airflow for workflow orchestration.
  • Implemented MLflow for experiment tracking and model management.
  • The platform allows for version-controlled execution and parallel evaluation of deformation strategies.
  • Structured metadata logging and centralized storage of results enhance reproducibility and scalability.
  • Facilitates comparative analysis, bridging theoretical development and operational experimentation.

Cite This Study

Rodriguez-Cardos et al. (2026) studied this question.

synapsesocial.com/papers/69eefc6dfede9185760d3826https://doi.org/10.1016/j.softx.2026.102681
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