Optimizing deadline-driven bulk-data transfer to revitalize spectrum fragments in EONs [Invited]

This paper studies how to optimize deadlinedriven bulk-data transfer to recycle spectrum fragments in elastic optical networks (EONs). We first formulate a mixed integer linear program (MILP) for offline optimization with one of two objectives: 1) maximize the average datatransfer percentage of data-oriented requests (DO-Rs), or 2) minimize the incompletable data transfers among the DO-Rs. Then, we propose two dynamic provisioning algorithms. One addresses the first objective by setting a threshold on the minimum transferred data per time slot, and the other considers both admission control and blocking-aware routing and spectrum allocation to optimize the service provisioning according to the second objective. Simulation results indicate that the proposed algorithms can effectively optimize the DO-Rs' data transfers according to their objectives, revitalize the spectrum fragments, and improve the network spectrum utilization significantly.