Traffic partition grooming in the mixed granularity and multi-domain optical networks

The demands mixed with the coarse and fine granularity cause the poor resource utilization and the port thirsty of previous grooming techniques in Wavelength-Division-Multiplexing (WDM) optical networks. Furthermore, with the large scale of the backbone, the optical network has been divided into multiple domains to achieve the scalability in the real world. In this paper, we study the gra-diversity problems and facilitate the novel traffic partition grooming with the Granularity-Layered Graph (GLG). Our heuristic is composed of three basic components: a) the traffic grooming of fine-grained demands, b) the waveband switching of coarse-grained demands, and c) the demand migration functioned through the interconnection of different granular layers in GLG. Extensive simulation results demonstrate that our method is an alternative option of solving the gra-diversity problems in the mixed granularity and multidomain optical networks.