This deliverable detailes the experimentation efforts undertaken in ARCFIRE. It encompasses 5 Experiments, each investigating aspects of the converged operator scenario set up by WP2.
The first experiment investigated the differences between a RINA and an evolutionary 5G network in terms of management complexity, targeting configuration management deploying a new service. This experiment shows that the RINA abstractions lead to significant gains for network configuration management (increases in speed, scale, and degree of automation and an overall reduction in complexity).
The second experiment performed network performance oriented measurements, investigating the delivery of resilient services. Fast resiliency to failures is demonstrated and it shows that the scale at which the prototypes can be deployed with respect to the number of users (flows), services and network elements has drastically improved during the project. Using the rumba framework, experiments of up to 50 nodes with over 1000 active flows can now be established on a jFed testbed in a matter of minutes.
The third experiment turns our sight towards multi-provider networks. RINA is evaluated as an alternative for MPLS towards its capability for maintaining end-to-end QoS guarantees with respect to delay, jitter and bandwidth. The experiments show that the abstraction provided by QoS cubes, combined with a QTAMux strategy, can provide delay guarantees.
The fourth experiment evaluates how renumbering end-user addresses with respect to the location in the network improves overall scalability. It demonstrates how RINA changes network renumbering from a network maintenance event taking days to a scheduled control update that can be done without interruptions in a few seconds at most.
The fifth and final experiment delves into the OMEC scenario for RINA, and shows how applications are kept reachable while they move through the network. It shows how mobility management is simplified into a series of routing and IPCP address updates.