Enabling the Cloud-to-Autonomous-Vehicles Continuum for Future Industrial IoT Applications: the CAVIA Approach

Autonomous Vehicles (AVs) are key enablers of automation in Industrial Internet of Things (IIoT) environments. As cyber–physical systems, they rely on distributed services for coordination, guidance, and computational offloading. Supporting these functionalities at scale requires a cloud-to-autonomous-vehicles continuum, where latency-critical services are deployed at the edge and compute-intensive tasks in the cloud. This paper presents the CAVIA (enabling the Cloud-to-Autonomous-Vehicles continuum for future Industrial IoT Applications) approach, which enables a scalable and efficient cloud-to-autonomous-vehicles architecture for industrial IoT applications. CAVIA introduces an integrated ecosystem that jointly addresses service choreography, computing resource orchestration, and network management. The resulting framework supports AV operations across heterogeneous scenarios while ensuring QoS requirements.