RT info:eu-repo/semantics/bookPart T1 Joint core and spectrum allocation in dynamic optical networks with ROADMs with no line changes A1 Viloria Vázquez, Iván A1 Durán Barroso, Ramón José A1 Miguel Jiménez, Ignacio de A1 Ruiz Pérez, Lidia A1 Merayo Álvarez, Noemí A1 Aguado Manzano, Juan Carlos A1 Fernández Reguero, Patricia A1 Lorenzo Toledo, Rubén Mateo A1 Abril Domingo, Evaristo José K1 Elastic Optical Networks K1 Redes ópticas elásticas AB 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. PB Springer International Publishing SN 978-3-030-68737-3 YR 2020 FD 2020 LK https://uvadoc.uva.es/handle/10324/52884 UL https://uvadoc.uva.es/handle/10324/52884 LA eng NO Broadband Communications, Networks, and Systems. 11th EAI International Conference, BROADNETS 2020, Editors: Honghao Gao, Ramón J. Durán Barroso, Pang Shanchen, Rui Li. Springer, 2020. p. 154-162. NO Producción Científica DS UVaDOC RD 08-oct-2024