Exploring the relationship among traffic, topology, and throughput: towards a traffic-optimal optical network topology design
The design of optical networks for maximum throughput under diverse traffic demands is a
long-standing NP-hard problem. In this paper, by parameterizing the relationship between …
long-standing NP-hard problem. In this paper, by parameterizing the relationship between …
[HTML][HTML] Intelligent performance inference: A graph neural network approach to modeling maximum achievable throughput in optical networks
One of the key performance metrics for optical networks is the maximum achievable
throughput for a given network. Determining it, however, is a nondeterministic polynomial …
throughput for a given network. Determining it, however, is a nondeterministic polynomial …
Expanding Graph Neural Networks for Ultra-Fast Optical Core Network Throughput Prediction to Large Node Scales
Using maximum achievable throughput as an objective, message passing neural networks
(MPNN) are applied to larger optical networks (25-100 nodes), enabling physical properties …
(MPNN) are applied to larger optical networks (25-100 nodes), enabling physical properties …