An optimal method for resource allocation in SDN optical networks

Abstract

The proliferation of cloud services and the massive volume of traffic provided by content delivery networks are driving the present rapid growth of Internet traffic. This obviously exacerbates the congestion concerns in communication networks, with a focus on the core and backbone components in particular. In this paper, a multi-path routing traffic grooming and adaptive modulation are combined to establish an integer linear programming model with the optimization objective of minimizing the spectrum resource occupation, and a novel algorithm is proposed to solve the problem of bandwidth allocation and holding-time-aware routing in software defined networks (SDN) integrated with elastic optical networks. A single path single service allocation approach is utilized to establish the service connection for both instant reservation allocation and advance reservation allocation. If the single path single service allocation technique fails, the single path multi sub service allocation method is applied. If it fails, the multipath multi sub service allocation method is attempted. When establishing a service connection, the allocation method with the least spectrum resource is recommended in order to reduce spectrum resource occupancy and release spectrum resource as soon as feasible. When there are no differences in spectrum resources, the allocation technique with the fewest total occupied time slots is selected. The results of simulations suggest that this approach may minimize blocking rates while also increasing spectrum usage.