ONOFRE-3: An Architecture for the Secure and Dynamic Management of Cloud-to-Edge Resources in Connected Mobility

The on-demand provisioning of network and computing resources from cloud to edge in novel connected mobility use cases presents challenges related to the management of heterogeneous, distributed devices, dynamic quality of service (QoS) requirements, security and privacy concerns, multi-access coordination and control, integration of 5G and future 6G networks, among others. The ONOFRE-3 project presents a comprehensive architecture for enabling on-demand provisioning of network and computing resources from cloud to edge in con-nected mobility scenarios. ONOFRE-3 addresses the challenges of managing diverse devices across edge, fog, and cloud by leveraging artificial intelligence (AI) and machine learning (ML) techniques for dynamic QoS monitoring and orchestration, as well as dis-tributed and federated learning paradigms to empower secure distributed applications across the cloud computing continuum and among peer domains. The architecture features mechanisms for core and network infrastructure planning, online resource provisioning, management of multiple radio access technologies, and computation offloading. Security trust zone capabilities are enhanced through analytics-based proactive actions and network slicing isolation. ONOFRE-3 also includes two complementary testbeds and a simulation platform, where partial evaluations of selected architecture features have been carried out.