The power consumption of core networks is bound to grow considerably due to increasing traffic volumes. Network reconfiguration adapting resources to the load is a promising countermeasure. However, the benefit of this approach is hard to evaluate realistically since current network equipment does not support dynamic resource adaptation and power-saving features. In this paper, we derive a dynamic resource operation and power model for IP-over-WSON network devices based on static power consumption data from vendors and reasonable assumptions on the achievable scaling behavior. Our model allows to express the dynamic energy consumption as a function of active optical interfaces, line cards, chassis, and the amount of switched IP traffic. We finally apply the model in the evaluation of two network reconfiguration schemes.

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The traffic in today's transport networks is increasing dramatically due to more demanding applications like video on demand and improving access technologies like 5G. Additionally, the quality of service requirements are becoming more stringent while network operators are seeking new ways for revenue creation. We propose a multi-layer network reconfiguration approach that reduces the overfulfillment of service delay requirements. In that way it provides an incentive to customers with low-delay services to acquire a more expensive service class for their traffic. Additionally, it relieves highly utilized links for services with very strict delay requirements. We provide an ILP formulation that solves this multi-layer network problem by performing a cross-layer optimization. Further, we evaluate our approach for two nationwide backbone networks. We show that a reduction of service delay overfulfillment is possible and how that affects other network metrics.