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BRIEF RESEARCH REPORT article

Front. Complex Syst.

Sec. Multi- and Cross-Disciplinary Complexity

This article is part of the Research TopicIntelligent Self-Organized, Dynamic, and Adaptive Complex Distributed SystemsView all articles

Deployment of Transatlantic Computational Testbeds via the Infrastructure Manager

Provisionally accepted
Germán  MoltóGermán Moltó1*Miguel  CaballerMiguel Caballer2Estíbaliz  ParceroEstíbaliz Parcero2Vicente  RodriguezVicente Rodriguez2
  • 1Universitat Politècnica de València, Valencia, Spain
  • 2Universitat Politecnica de Valencia, Valencia, Spain

The final, formatted version of the article will be published soon.

Transatlantic scientific collaborations require computational testbeds that can be provisioned on demand and reconfigured rapidly while spanning institutions in different regulatory and operational domains. During the DISCOVER-US exchange program, we integrated the Infrastructure Manager (IM), a TOSCA-based orchestrator for the computing continuum, with the Chameleon cloud infrastructure. The workflow combined federated identity management, delegated project administration, and an IM plugin that targets Chameleon's OpenStack endpoints through application credentials. We validated the approach by deploying single virtual machines, a production-ready Galaxy environment, distributed OSCAR-based serverless clusters that offload an AI-based fish detection pipeline, a workflow for flood impact modeling, and a hybrid SLURM cluster. Transatlantic computational testbeds included dynamically provisioned computational resources from EGI Federated Cloud and Chameleon. The study also documents operational constraints encountered with lease automation, bare-metal introspection, and the exposure of Kubernetes services across wide-area networks. The resulting blueprint demonstrates a reproducible path to deploy secure, elastic, and scientifically useful transatlantic computational testbeds.

Keywords: Cloud computing, Cloud orchestration, Computational Testbeds, Infrastructure as code, Serverless computing

Received: 14 Oct 2025; Accepted: 06 Feb 2026.

Copyright: © 2026 Moltó, Caballer, Parcero and Rodriguez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Germán Moltó

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