  Network Slicing is expected to become a game changer in the upcoming 5G
networks and beyond, enlarging the telecom business ecosystem through
still-unexplored vertical industry profits. This implies that heterogeneous
service level agreements (SLAs) must be guaranteed per slice given the
multitude of predefined requirements. In this paper, we pioneer a novel radio
slicing orchestration solution that simultaneously provides-latency and
throughput guarantees in a multi-tenancy environment. Leveraging on a solid
mathematical framework, we exploit the exploration-vs-exploitation paradigm by
means of a multi-armed-bandit-based(MAB) orchestrator, LACO, that makes
adaptive resource slicing decisions with no prior knowledge on the traffic
demand or channel quality statistics. As opposed to traditional MAB methods
that are blind to the underlying system, LACO relies on system structure
information to expedite decisions. After a preliminary simulations campaign
empirically proving the validness of our solution, we provide a robust
implementation of LACO using off-the-shelf equipment to fully emulate realistic
network conditions:near-optimal results within affordable computational time
are measured when LACO is in place.
