Metaheurísticas multiobjetivo y computación paralela para optimizar redes ópticas WDM

Abstract

Nowadays, the number of users that use the Internet has risen exponentially. However, our current data networks are not able to support this exponential growth due to their bandwidth is not enough. In this way, due to the huge bandwidth of optical fiber (50Tbps), the use of these data networks is a suitable option for dealing with this drawback. In this way, the most promising technology for exploiting the huge bandwidth of these data networks is based on Wavelength Division Multiplexing (WDM). This technology multiplies the available capacity of an optical fiber link by adding new channels, each channel on a new wavelength of light (Gbps). In WDM networks, a problem comes up when it is necessary to interconnect a set of connection requests. This problem is known in the literature as the Routing and Wavelength Assignment problem (RWA). Unfortunately, the majority of current devices or applications are constrained by their processing speed (a few Mbps), which is translated into a waste of bandwidth. This drawback is efficiently solved by grooming several low-speed connection demands (Mbps) onto high-speed wavelength channels (Gbps). This problem is known as the Traffic Grooming problem