Towards an architecture for big data analytics leveraging edge/fog paradigms. - Josu Díaz-de-Arcaya; Raúl Miñón; Ana I. Torre-Bastida (ECSA (Companion), 2019)

PADL: A Modeling and Deployment Language for Advanced Analytical Services. - Josu Díaz-de-Arcaya; Raúl Miñón; Ana I. Torre-Bastida; Javier Del Ser; Aitor Almeida (Sensors, 2020)

Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum. - Juncal Alonso; Leire Orue-Echevarria; Eneko Osaba; Jesús López Lobo; Iñigo Martinez; Josu Díaz-de-Arcaya; Iñaki Etxaniz (Inf., 2021)

Technological Perspective of Data Governance in Data Space Ecosystems. - Ana I. Torre-Bastida; Guillermo Gil; Raúl Miñón; Josu Díaz-de-Arcaya (Data Spaces, 2022)

PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations. - Eneko Osaba; Josu Díaz-de-Arcaya; Leire Orue-Echevarria; Juncal Alonso; Jesus L. Lobo; Gorka Benguria; Iñaki Etxaniz (GECCO Companion, 2022)

K2E: Building MLOps Environments for Governing Data and Models Catalogues while Tracking Versions. - Gorka Zárate; Raúl Miñón; Josu Díaz-de-Arcaya; Ana I. Torre-Bastida (ICSA Companion, 2022)

Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers. - Raúl Miñón; Josu Díaz-de-Arcaya; Ana I. Torre-Bastida; Philipp Hartlieb (Sensors, 2022)

Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing. - Eneko Osaba; Gorka Benguria; Jesus L. Lobo; Josu Díaz-de-Arcaya; Juncal Alonso; Iñaki Etxaniz (CIIS, 2023)

Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations. - Eneko Osaba; Josu Díaz-de-Arcaya; Juncal Alonso; Jesus L. Lobo; Gorka Benguria; Iñaki Etxaniz (ICCCM, 2023)

IEM: A Unified Lifecycle Orchestrator for Multilingual IaC Deployments. - Josu Díaz-de-Arcaya; Eneko Osaba; Gorka Benguria; Iñaki Etxaniz; Jesus L. Lobo; Juncal Alonso; Ana I. Torre-Bastida; Aitor Almeida (ICPE (Companion), 2023)

Orfeon: An AIOps framework for the goal-driven operationalization of distributed analytical pipelines. - Josu Díaz-de-Arcaya; Ana I. Torre-Bastida; Raúl Miñón; Aitor Almeida (Future Gener. Comput. Syst., 2023)

Purity: a New Dimension for Measuring Data Centralization Quality. - Lander Bonilla; María José López Osa; Josu Díaz-de-Arcaya; Ana I. Torre-Bastida; Aitor Almeida (ICCBDC, 2024)

Towards the Self-Healing of Infrastructure as Code Projects Using Constrained LLM Technologies. - Josu Díaz-de-Arcaya; Juan López-de-Armentia; Gorka Zárate; Ana I. Torre-Bastida (APR, 2024)

A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey. - Josu Díaz-de-Arcaya; Ana I. Torre-Bastida; Gorka Zárate; Raúl Miñón; Aitor Almeida (ACM Comput. Surv., 2024)

Towards a Framework for Intelligent Sampling: Comprehensive Review of Challenges, AI Techniques, and Tools. - Lander Bonilla; Jon Aguirre-Usandizaga; Asier Garcia-Perez; María José López Osa; Idoia Murua Belacortu; Josu Díaz-de-Arcaya; Jordi Arjona Aroca; Ana I. Torre-Bastida; Raul Milioñ; Aitor Almeida (SMARTCOMP, 2025)

ArtifactOps and ArtifactDL: a methodology and a language for conceptualizing and operationalising different types of pipelines. - Raúl Miñón; Josu Díaz-de-Arcaya; Ana I. Torre-Bastida; Juan López-de-Armentia; Gorka Zárate; Lander Bonilla; Asier Garcia-Perez; Jon Aguirre-Usandizaga (J. Cloud Comput., 2025)