Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks

Constantine Kyriakopoulos, Petros Nicopolitidis, Georgios Papadimitriou, Emmanouel Varvarigos


Elastic optical networks provide the advantage of elaborate resource utilisation for achieving a wide range of performance goals. Cross-layer optimisation is feasible by exploiting high layer IP traffic prediction for achieving efficient lightpath establishment at the lower layer. Swarm Intelligence can provide a tool to adaptively allocate spectrum resources according to traffic analytics from the IP layer. A new algorithm is designed and evaluated that exploits these analytics using particle swarm optimisation to allocate spectrum.


Paper Citation