Josu Díaz-de-Arcaya

19 papers B 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
ArtifactOps and ArtifactDL: a methodology and a language for conceptualizing and operationalising different types of pipelines.
J. Cloud Comput.
Raúl Miñón, Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Juan López-de-Armentia, Gorka Zárate, Lander Bonilla, Asier Garcia-Perez, Jon Aguirre-Usandizaga
2025 J jnl
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions.
Neural Comput. Appl.
Ana I. Torre-Bastida, Josu Díaz-de-Arcaya, Eneko Osaba, Khan Muhammad, David Camacho, Javier Del Ser
2025 B conf
Towards a Framework for Intelligent Sampling: Comprehensive Review of Challenges, AI Techniques, and Tools.
SMARTCOMP
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
2024 J jnl
A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey.
ACM Comput. Surv.
Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Gorka Zárate, Raúl Miñón, Aitor Almeida
2024 J jnl
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations.
CoRR
Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
2024 — conf
Purity: a New Dimension for Measuring Data Centralization Quality.
ICCBDC
Lander Bonilla, María José López Osa, Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Aitor Almeida
2024 — conf
Towards the Self-Healing of Infrastructure as Code Projects Using Constrained LLM Technologies.
APR
Josu Díaz-de-Arcaya, Juan López-de-Armentia, Gorka Zárate, Ana I. Torre-Bastida
2023 — conf
IEM: A Unified Lifecycle Orchestrator for Multilingual IaC Deployments.
ICPE (Companion)
Josu Díaz-de-Arcaya, Eneko Osaba, Gorka Benguria, Iñaki Etxaniz, Jesus L. Lobo, Juncal Alonso, Ana I. Torre-Bastida, Aitor Almeida
2023 — conf
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations.
ICCCM
Eneko Osaba, Josu Díaz-de-Arcaya, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
2023 — conf
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing.
CIIS
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
2023 J jnl
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing.
CoRR
Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya, Juncal Alonso, Iñaki Etxaniz
2023 J jnl
Orfeon: An AIOps framework for the goal-driven operationalization of distributed analytical pipelines.
Future Gener. Comput. Syst.
Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Raúl Miñón, Aitor Almeida
2022 — conf
K2E: Building MLOps Environments for Governing Data and Models Catalogues while Tracking Versions.
ICSA Companion
Gorka Zárate, Raúl Miñón, Josu Díaz-de-Arcaya, Ana I. Torre-Bastida
2022 — conf
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations.
GECCO Companion
Eneko Osaba, Josu Díaz-de-Arcaya, Leire Orue-Echevarria, Juncal Alonso, Jesus L. Lobo, Gorka Benguria, Iñaki Etxaniz
2022 J jnl
Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers.
Sensors
Raúl Miñón, Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Philipp Hartlieb
2022 — ch.
Technological Perspective of Data Governance in Data Space Ecosystems.
Data Spaces
Ana I. Torre-Bastida, Guillermo Gil, Raúl Miñón, Josu Díaz-de-Arcaya
2021 J jnl
Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum.
Inf.
Juncal Alonso, Leire Orue-Echevarria, Eneko Osaba, Jesús López Lobo, Iñigo Martinez, Josu Díaz-de-Arcaya, Iñaki Etxaniz
2020 J jnl
PADL: A Modeling and Deployment Language for Advanced Analytical Services.
Sensors
Josu Díaz-de-Arcaya, Raúl Miñón, Ana I. Torre-Bastida, Javier Del Ser, Aitor Almeida
2019 — conf
Towards an architecture for big data analytics leveraging edge/fog paradigms.
ECSA (Companion)
Josu Díaz-de-Arcaya, Raúl Miñón, Ana I. Torre-Bastida