No abstract

The minimization of blocking probability is an important problem for the design of next generation high speednetworks. This problem is usually approached with an adaptive routing algorithm with traffic grooming, that is costly regarding improvements on network equipment. This paper presents the Clonal Selection Adaptive Routing Algorithm (CSA), a new routing algorithm for use in dynamic optical network. The algorithm uses a fitness function which adapts the route selection cost, minimizing the blocking. Its performance was evaluated considering the blocking probability with three different topologies, for high traffic, compared to the adaptive routing algorithm with traffic grooming. The results present a higher gain for the proposed approach, with no need to improvement on network equipment or conversion capabilities.

Optical networks have been proposed as the main infrastructure for interconnecting networks with large data flows. For those networks, two switching paradigms have been discussed: the optical burst switching (OBS) and optical circuit switching (OCS). A direct comparison between the performance of OBS and OCS is important for the design of more efficient networks. In this paper, various settings of routing and wavelength selection algorithms, for both OCS and OBS networks are implemented and compared. The blocking probability and the average transmission duration for a Poissonian traffic are the evaluation parameters.