Adaptive routing and spectrum allocation in elastic optical networks

Elastic optical networks (EONs) have emerged as the preferred technology for future optical networks because of its ability to manage network resources efficiently and provide better spectrum utilization to cope with recent rapid changes in traffic behavior and the tremendous growth in bandwidth demand. An important factor in the success of EONs is routing and spectrum allocation (RSA). In this paper, we propose an adaptive RSA algorithm for EONs. The algorithm relies on the history of carried calls to learn the near-optimal searching sequence of the optical spectrum. The source node measures the gain (cost) of carrying a call at a set of contiguous subcarriers on subsequent (future) call arrival. This gain (cost) will be used to sort the routing and the starting frequencies. We present simulation results to show the efficiency of our new algorithm. Simulation shows savings for the normalized revenue loss can reach up to 70% over the static first-fit RSA with a faster setup time.