The concept of network slicing in 5G infrastructures allows to deliver multiple virtual services over shared environments and fully customized based on vertical-driven requirements and target performance indicators. A key feature of 5G networks is the capability to dynamically re-optimize the allocation of computing and network resources, from the core up to the edge, to instantiate and manage different types of concurrent services over a shared infrastructure. In this demonstration, we present a network slicing and orchestration solution for vertical services in the media sector, where enhanced Mobile Broadband (eMBB) network slices are instantiated interconnecting physical and virtual functions, provisioned and configured on-demand using the concept of NFV Network Services. The eMBB slices are automatically dimensioned to match the requirements of the virtual Content Delivery Network (vCDN) service, e.g. in terms of number of target users, video quality and geographical coverage area. Arbitration and resource allocation schemas optimize the sharing of mobile communication services and virtual resources among concurrent media service instances, in compliance with the Service Level Agreement between network operators and vertical service providers.

5G network nodes, fronthaul and backhaul alike, will have both forwarding and computational capabilities. This makes energy-efficient network management more challenging, as decisions, such as activating or deactivating a node, impact on both the ability of the network to route traffic and the amount of processing it can perform. To this end, we formulate an optimization problem accounting for the main features of 5G nodes and the traffic they serve, allowing joint decisions about: 1) the nodes to activate; 2) the network functions they run; and 3) the traffic routing. Our optimization module is integrated within the management and orchestration framework of 5G, thus enabling swift and high-quality decisions. We test our scheme with both a real-world testbed based on OpenStack and OpenDaylight, and a large-scale emulated network whose topology and traffic come from a real-world mobile operator, finding it to consistently outperform state-of-the art alternatives and closely match the optimum.