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 26-abr-2024