Multi-objective Evolutionary Algorithm for the Design of Resilient OTN over DWDM Networks

Autor: Jose C. Silva, Andre V. S. Xavier, Joaquim F. Martins-Filho, Carmelo J. A. Bastos-Filho, Daniel A. R. Chaves, Arysson S. Oliveira, Raul C. Almeida, Danilo R. B. Araujo, Jose A. Martins
Rok vydání: 2022
Popis: The high-quality telecommunications services demand has grown considerably due to the increase in the number of applications on the Internet. Optical networks are the most suitable technology to supply the high transmission rates required. With the expansion of the optical communications market, businesses related to this industry started to attract more innovation investments in this area. Optical Transport Network (OTN) arrived in the communications market bringing economic and operational benefits of virtualization to the optical network. This technology works as a superior layer to the DWDM (Dense Wavelength Division Multiplexing) network, allowing more efficient resource use. OTN switching decouples customers from DWDM line interfaces, ensuring that DWDM links work as efficiently as possible, thus avoiding wasted transmission bandwidth. This concept is carried out on a network of OTN switches, allowing traffic to be aggregated at intermediate nodes and directed to routes that are being underutilized. Planning OTN networks over DWDM is a complex problem, as it involves a whole new equipment structure and logical architecture. This problem has arisen due to academia and industry’s interest in developing planning heuristics that reduce the cost of projects. This paper proposes planning OTN networks over DWDM to minimize the cost with line interfaces while meeting resilience requirements. This paper proposes to use a multi-objective evolutionary algorithm to seek a solution that optimizes the project considering conflicting decision variables, the number of used OTN interfaces , and the restoration failure rate. The experiments carried out in this work showed that the proposed solution, when evaluated in several scenarios, obtained better results concerning the number of interfaces allocated compared with previous heuristic algorithms developed with the same objective.
Databáze: OpenAIRE