  With 5G networking, deterministic guarantees are emerging as a key enabler.
In this context, we present a scalable Damper-based architecture for
Large-scale Deterministic IP Networks (D-LDN) that meets required bounds on
end-to-end delay and jitter. This work extends the original LDN architecture,
where flows are shaped at ingress gateways and scheduled for transmission at
each link using an asynchronous and cyclic opening of gate-controlled queues.
To further relax the need for clock synchronization between devices, we use
dampers, that consist in jitter regulators, to control the burstiness flows to
provide a constant target delay at each hop. We introduce in details how data
plane functionalities are implemented at all nodes (gateways and core) and we
derive how the end-to-end delay and jitter are calculated. For the control
plane, we propose a column generation algorithm to quickly take admission
control decisions and maximize the accepted throughput. For a set of flows, it
determines acceptance and selects the best shaping and routing policy. Through
a proof-of-concept implementation in simulation, we verify that the
architecture meets promised guarantees and that the control plane can operate
efficiently at large-scale.
