Learn to Recover: Deep Reinforcement Learning for Failure Recovery in Large Networks
Proactive link recovery approaches have been approved to be efficient by pre-calculating and installing backup routing paths in advance. Once a link failure happens, the switches on data plane directly change to next available pre-calculated path, saving time from communications and path re-calculations. However, exist...