HyOrch: 6G-Driven Resource Orchestration for Hierarchical End–Edge–Cloud Networks
Maher Ali, Liqiang Zhao, Zhi-mi Cheng, Qingtian Wang, Zexu Li, Guorong Zhou, Huda Ali, Paolo Bellavista · IEEE Internet of Things Journal · 2025
The development of 6G networks is driving the need for innovative resource orchestration solutions to meet the diverse and dynamic demands of next-generation applications. As the number of connected devices increases, traditional network management approaches are insufficient to handle the complex and multi-resource requirements of 6G, which include communication, computation, and storage capabilities across multi-domain environments. To address these challenges, we introduce HyOrch, a novel approach for 6G-driven resource orchestration that employs hypergraph theory to model the intricate interactions and dependencies among network elements across multiple domains. HyOrch enables a comprehensive representation of these complexities, facilitating efficient resource orchestration across End Devices (EDs), Edge Servers (ESs), and Cloud Servers (CSs). It employs a hierarchical distributed resource allocation mechanism that dynamically allocates resources based on real-time availability and application-specific requirements, ensuring optimal performance across the entire network. To validate the effectiveness of HyOrch, we conducted evaluations on a real-world testbed with both virtual and physical devices. The results show that HyOrch significantly outperforms existing approaches, improving resource efficiency by 31.54%-42.13% and reducing delay by 9.77%-39.12%, demonstrating its capability to address the evolving challenges of 6G network orchestration.