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.

翻译：本文提出CODECO——一种面向Kubernetes的联邦编排框架，旨在解决以云为中心部署模式的局限性。CODECO采用数据-计算-网络协同编排方法，以支持异构基础设施、移动性与多供应商运营。该框架通过语义化应用模型、基于分区的联邦机制以及AI辅助决策支持对Kubernetes进行扩展，实现在联邦环境中对应用及其微服务进行上下文感知的部署与自适应管理。其混合治理模型将集中式策略执行与分布式执行学习相结合，在保障全局一致性的同时支持远边缘自主性。本文阐述了CODECO的体系结构与核心组件，勾勒了典型编排工作流程，并介绍了基于软件的实验框架，用于在联邦边缘-云基础设施环境中进行可复现的评估。