Research Article
Joint Core and Spectrum Allocation in Dynamic Optical Networks with ROADMs with No Line Changes
@INPROCEEDINGS{10.1007/978-3-030-68737-3_10, author={I. Viloria and R. J. Dur\^{a}n and I. de Miguel and L. Ruiz and N. Merayo and J. C. Aguado and P. Fern\^{a}ndez and R. M. Lorenzo and E. J. Abril}, title={Joint Core and Spectrum Allocation in Dynamic Optical Networks with ROADMs with No Line Changes}, proceedings={Broadband Communications, Networks, and Systems. 11th EAI International Conference, BROADNETS 2020, Qingdao, China, December 11--12, 2020, Proceedings}, proceedings_a={BROADNETS}, year={2021}, month={2}, keywords={RCSA Routing Spectrum assignment Core assignment Multicore fibers Elastic optical networks}, doi={10.1007/978-3-030-68737-3_10} }- I. Viloria
R. J. Durán
I. de Miguel
L. Ruiz
N. Merayo
J. C. Aguado
P. Fernández
R. M. Lorenzo
E. J. Abril
Year: 2021
Joint Core and Spectrum Allocation in Dynamic Optical Networks with ROADMs with No Line Changes
BROADNETS
Springer
DOI: 10.1007/978-3-030-68737-3_10
Abstract
Future metro networks will connect many multiaccess edge computing resources (MEC) working in a coordinating fashion to provide users with cloud computing capabilities with very low latency. That highly distributed computing architecture has to be connected by a network that provides high bandwidth and flexibility. Elastic optical networks (EONs) are currently the best option to perform that task. In a next step of optical network evolution, EONs can increase the bandwidth that they provide by using multicore fibers (MCF). When dynamic optical circuits are established in these networks, the routing, core and spectrum assignment (RCSA) problem must be solved. In this paper, two algorithms are presented in order to solve the RCSA problem considering continuity constraints in both the spectrum and the core (as we consider a cost-effective metro network architecture based on ROADMs without line changes). One of these versions explores the full spectrum of all cores in order to grant the best solution when solving the RCSA problem. The results of a simulation study show that exploring all the cores when solving the RCSA problem can reduce the blocking ratio of those networks and, therefore, increase its performance at the expense of a slight increment of the computing time required to provide a solution.
