Spectrum Slicer Placement for Elastic Optical Network with Sparse Slicers

Abstract

This paper investigates spectrum slicer placement problem under a spectrum allocation scheme that considers the splitting process to minimize the blocking probability for elastic optical network with sparse slicers. Unlike the conventional elastic optical network without slicers, the elastic optical network with slicers is able to split a spectrum band into several spectrum components by replicating the original spectrum band and filtering out an unwanted signal on each spectrum band. The largest L-shape fit allocation algorithm, which allocates a request to available slot areas with L-shape, is utilized to reduce the request blocking probability. We evaluate the performance of our scheme with various centrality policies on elastic optical network with sparse slicers, where the number of slicers is given. Simulation results show that our scheme with betweenness centrality significantly outperforms that with random centrality, degree centrality, and closeness centrality in terms of bandwidth blocking rate.