LAUSR

In this paper, the problem of content provisioning over elastic optical network (EON) with possible cloud migration is addressed. We perform the analysis that encompasses the problem of content placement into cloud data centers together with lightpath routing and spectrum assignment in EON. We propose a novel mixed integer linear programming model to solve the considered optimization problem. Multiple attribute decision-making methods are used to determine the relevance of each criterion in the objective function. The developed model achieves appropriate placement of content groups into cloud data centers and determines the lightpaths depending on a given bandwidth demand for content provisioning, thus optimizing cloud migration, spectrum utilization and lightpath length, simultaneously. The model is evaluated in two realistic optical network scenarios: the medium-sized INT9 network and the Euro28 network topology. Extensive optimization experiments are performed and the analysis of the network resources utilization is provided.