Hybrid services efficient provisioning over the network coding–enabled elastic optical networks

Xin Wang; Rentao Gu; Yuefeng Ji; Mohsen Kavehrad

doi:10.1117/1.OE.56.3.036101

1 March 2017 Hybrid services efficient provisioning over the network coding–enabled elastic optical networks

Xin Wang, Rentao Gu, Yuefeng Ji, Mohsen Kavehrad

Author Affiliations +

Optical Engineering, Vol. 56, Issue 3, 036101 (March 2017). https://doi.org/10.1117/1.OE.56.3.036101

Abstract

As a variety of services have emerged, hybrid services have become more common in real optical networks. Although the elastic spectrum resource optimizations over the elastic optical networks (EONs) have been widely investigated, little research has been carried out on the hybrid services of the routing and spectrum allocation (RSA), especially over the network coding–enabled EON. We investigated the RSA for the unicast service and network coding–based multicast service over the network coding–enabled EON with the constraints of time delay and transmission distance. To address this issue, a mathematical model was built to minimize the total spectrum consumption for the hybrid services over the network coding–enabled EON under the constraints of time delay and transmission distance. The model guarantees different routing constraints for different types of services. The immediate nodes over the network coding–enabled EON are assumed to be capable of encoding the flows for different kinds of information. We proposed an efficient heuristic algorithm of the network coding–based adaptive routing and layered graph-based spectrum allocation algorithm (NCAR-LGSA). From the simulation results, NCAR-LGSA shows highly efficient performances in terms of the spectrum resources utilization under different network scenarios compared with the benchmark algorithms.

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Xin Wang, Rentao Gu, Yuefeng Ji, and Mohsen Kavehrad "Hybrid services efficient provisioning over the network coding–enabled elastic optical networks," Optical Engineering 56(3), 036101 (1 March 2017). https://doi.org/10.1117/1.OE.56.3.036101

Received: 2 November 2016; Accepted: 1 February 2017; Published: 1 March 2017

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