Performance evaluation of optimal wavelength allocation and flow assignment for optical networks using profit maximization under demands uncertainty

Transport service providers need control and optimization strategies for wavelength management, network provisioning, restoration and protection, allowing them to define and deploy new services offers. In the paper, we further investigate a demand elasticity based model for wavelength and flow assignment in multiwavelength optical networks, proposed in previous works of the authors. This model assumes that the physical and logical topology of the optical network and the total utilization cost for all physical links are known parameters. It is further assumed that the transport service provider operates as monopolist on the telecommunication market. A mixed integer optimization is employed to determine wavelength allocation and flow assignment of the requested traffic demand. One of the novelties introduced by the authors in their previous works is the optimization cost function, used for the profit maximization of the transport service supplier. The novelty in this paper is taking into consideration the bandwidth demand uncertainty as one of the key factors in estimating the transport service provider's profit. Case studies and performance evaluation are presented.