Adapting Spectrum Resources using Predicted IP Traffic in Optical Networks

Constantine Kyriakopoulos, Petros Nicopolitidis, Georgios Papadimitriou, Emmanouel Varvarigos

Abstract

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.

Download


Paper Citation