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arXiv · 2601.13351

Towards Scalable Federated Container Orchestration: The CODECO Approach

Rute C. Sofia·Josh Salomon·Ray Carrol·Luis Garcés-Erice·Peter Urbanetz·Jürgen Gesswein·Rizkallah Touma·Alejandro Espinosa·Luis M. Contreras·Vasileios Theodorou·George Papathanail·Georgios Koukis·Vassilis Tsaoussidis·Alberto del Rio·David Jimenez·Efterpi Paraskevoulakou·Panagiotis Karamolegkos·John Soldatos·Borja Dorado Nogales·Alejandro Tjaarda
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Abstract

This paper presents CODECO, a federated orchestration framework for Kubernetes that addresses the limitations of cloud-centric deployment. CODECO adopts a data-compute-network co-orchestration approach to support heterogeneous infrastructures, mobility, and multi-provider operation. CODECO extends Kubernetes with semantic application models, partition-based federation, and AI-assisted decision support, enabling context-aware placement and adaptive management of applications and their micro-services across federated environments. A hybrid governance model combines centralized policy enforcement with decentralized execution and learning to preserve global coherence while supporting far Edge autonomy. The paper describes the architecture and core components of CODECO, outlines representative orchestration workflows, and introduces a software-based experimentation framework for reproducible evaluation in federated Edge-Cloud infrastructure environments.

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Rute C. Sofia, Josh Salomon, Ray Carrol, Luis Garcés-Erice, Peter Urbanetz, Jürgen Gesswein, Rizkallah Touma, Alejandro Espinosa, Luis M. Contreras, Vasileios Theodorou, George Papathanail, Georgios Koukis, Vassilis Tsaoussidis, Alberto del Rio, David Jimenez, Efterpi Paraskevoulakou, Panagiotis Karamolegkos, John Soldatos, Borja Dorado Nogales, Alejandro Tjaarda. 2026-01-19. Towards Scalable Federated Container Orchestration: The CODECO Approach. https://arxiv.org/abs/2601.13351

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