The long-term vision for pervasive computing, connectivity, and corresponding services in 5G calls for the flexible, on-demand integration of ubiquitous compute, storage and network resources, transparently crossing the borders of administrative domains. To realise this vision, the next generation 5G networks have to embrace full automation and implement extensive zero-touch network and service management while facilitating the integration of 3rd party edge resources to satisfy high mobility of users and terminals. Furthermore, the lack of a framework to establish distributed trust for multi-domain resource sharing represents a barrier to the original vision of 5G.
With the aim of covering these gaps, the main objective of 5GZORRO project is to ensure robust, reliable, and secure communications in future 5G. The 5GZORRO architecture considers a wide set of services, which allow to support cross-domain network slicing, resource and service offering via marketplaces anchored in DLT, discovery, AI-based intelligent selection and trading of resources and Services via Smart Contracts, zero-touch network slice and service lifecycle management, cross-stakeholder e-license management, SLA monitoring & AI-driven breach prediction, security and trust across multiple domains.
On the technical validation side, the consortium dedicated its efforts towards the implementation, testing and validation of the three project use cases (Smart Contracts for Ubiquitous Computing/Connectivity, Dynamic Spectrum allocation, Pervasive vCDN Services) which allowed to assess the 5GZORRO architecture for the flexible and multi-stakeholder combination and composition of resources and services in 5G networks. In addition to the technical feasibility validation of the 5GZORRO solution, the business and legal aspects were also thoroughly explored and reported. As a conclusion, we can state that 5GZORRO solution is ready to evolve into a market ready solution, as it works from a technological point of view and, equally important, complies with legal aspects and solves real problems with a reduced investment.
