On the management of wavelength converter allocation in WDM all-optical networks

Abstract

Previous works have shown the wavelength conversion can considerably reduce the blocking probability in all-optical networks, but most of analytical models and algorithms are proposed under simplifying assumptions or restricted to specific cases. In this paper, motivated by an abstracting technique called Blocking Island (BI) paradigm, we propose wavelength placement algorithms both in static traffic case and dynamic traffic case. To make sure our algorithm is applicable in arbitrary topologies and any incoming traffic patterns, a simulation-based optimization approach is employed. In the simulation, we show the performance improvement obtained by full wavelength conversion can almost be achieved by using limited number of wavelength converters with careful placement.

Routing and wavelength converter allocation in WDM networks: a multi-objective evolutionary optimization approach

“…On the other hand, in the pre-simulated approach, a statistic of utilization of converters is calculated at the beginning through simulations on a full-wavelength conversion network. Next, a determined number of converters is allocated maximizing the total utilization of converters [6,24,44,51,67,72]. A crucial problem of these approaches is the computation cost one must pay to design reliable simulations for large networks [16].…”

Multi-objective routing and wavelength converter allocation under uncertain traffic

“…On the other hand, in the pre-simulated approach, statistical information on the used wavelength converters is calculated considering full-wavelength conversion networks where each node has a complete conversion capacity. Later, a fixed number of converters is allocated maximizing the use of converters [24,[65][66][67][68][69]. An important problem with these approaches is the computational cost needed for a reliable simulation associated to large networks [6].…”