Heuristics for the Efficient Spectrum Assignment of Services in Elastic Optical Networks
With the growth of data traffic, such as: social networks, various connected equipment, multimedia traffic, voice and video on demand, among others, Optical Networks are fundamental and have an important role for data transport, ensuring the quality of data. services offered. The technology of Elastic Optical Networks (EONs), brings new research for better bandwidth optimization in the optical spectrum, without the need for physical implementation of new optical fibers in existing networks. This research aims to evaluate, with the use of simulation, a new heuristic developed in order to improve the use and occupation of the optical spectrum. With the
best spectral occupancy algorithms, service allocation and organization of all slots in C-band (4.4THz), will be performed, allowing for better utilization and flexibility of the full spectrum as it it presents non-contiguous bandwidth spaces over time, generating the Block Probability (PB) and optical network fragmentation. The new heuristic developed showed better Quality of Service (QoS) results and minimized the computational load of the Network Management System (NMS), compared to the FF algorithm, already used in several researches present in the literature.