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Josu Díaz-de-Arcaya
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2020 – today
- 2024
- [j5]Josu Díaz-de-Arcaya
, Ana I. Torre-Bastida
A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey. ACM Comput. Surv. 56(4): 84:1-84:30 (2024) - [c8]Lander Bonilla
Purity: a New Dimension for Measuring Data Centralization Quality. ICCBDC 2024: 8-14 - [c7]Josu Díaz-de-Arcaya
Towards the Self-Healing of Infrastructure as Code Projects Using Constrained LLM Technologies. APR 2024: 1-4 - [i2]Eneko Osaba, Josu Díaz-de-Arcaya
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations. CoRR abs/2401.09983 (2024) - 2023
- [j4]Josu Díaz-de-Arcaya
Orfeon: An AIOps framework for the goal-driven operationalization of distributed analytical pipelines. Future Gener. Comput. Syst. 140: 18-35 (2023) - [c6]Eneko Osaba
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing. CIIS 2023: 85-90 - [c5]Eneko Osaba
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations. ICCCM 2023: 26-31 - [c4]Josu Díaz-de-Arcaya
IEM: A Unified Lifecycle Orchestrator for Multilingual IaC Deployments. ICPE (Companion) 2023: 195-199 - [i1]Eneko Osaba, Gorka Benguria, Jesus L. Lobo, Josu Díaz-de-Arcaya
Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing. CoRR abs/2311.10767 (2023) - 2022
- [j3]Raúl Miñón
Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers. Sensors 22(12): 4425 (2022) - [c3]Eneko Osaba, Josu Díaz-de-Arcaya
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations. GECCO Companion 2022: 71-72 - [c2]Gorka Zárate, Raúl Miñón, Josu Díaz-de-Arcaya
K2E: Building MLOps Environments for Governing Data and Models Catalogues while Tracking Versions. ICSA Companion 2022: 206-209 - [p1]Ana I. Torre-Bastida, Guillermo Gil, Raúl Miñón, Josu Díaz-de-Arcaya:
Technological Perspective of Data Governance in Data Space Ecosystems. Data Spaces 2022: 65-87 - 2021
- [j2]Juncal Alonso
Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum. Inf. 12(8): 308 (2021) - 2020
- [j1]Josu Díaz-de-Arcaya
PADL: A Modeling and Deployment Language for Advanced Analytical Services. Sensors 20(23): 6712 (2020)
2010 – 2019
- 2019
- [c1]Josu Díaz-de-Arcaya
Towards an architecture for big data analytics leveraging edge/fog paradigms. ECSA (Companion) 2019: 173-176
Coauthor Index
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