Proyecto I+D
Project PID2020-112675RB-C41 ONOFRE-3
On-Demand Provisioning of Network and Computing Resources from the Cloud to the Edge: Optimal Planning and Coordinates Access (ONOFRE-3-UPCT
Of National scope. With a Public character. It has been granted under a regime of Competitive.
In collaboration with other entities. Role: Coordinator
5G, and especially future networks (6G), introduce as defining features new massive latency-constrained service classes, cell-less architectures with multiaccess coordination and ML-based network intelligence, all of it supported by Multiaccess Edge Computing (MEC). Convergent networks work as their backhaul and meet their stringent requirements with Network Function Virtualization (NFV) techniques, MEC and Management and Orchestration (MANO), Software-Defined Networking (SDN), framing a solution able to manage and orchestrate the complete lifecycle of future services. Computation services can be instantiated in such virtualized infrastructures, enabling the possibility of offloading tasks from mobile nodes but requiring the design of frameworks to control and manage networks interconnecting cloud and MEC servers. The cell-less architecture is implemented by the coordinated use of multiple RAT with support from the MEC servers. To realize this architecture, it is necessary to overcome the heterogeneity of the edge, fog, and cloud processing layers and proper management of dynamic QoS application requirements running on mobile nodes. To overcome this complexity, AI and Machine Learning techniques for contextual information prediction and network management is the trend. AI/ML can also support both offline planning methods and multiaccess coordination and control and be deployed at end devices. In this scenario, security is also mandatory from the start, with advanc
Researchers
