Energy-Efficient Service Provisioning in Inter-Data Center Elastic Optical Networks

We investigate the problem of energy-efficient transponder configuration constrained to quality of service and physical requirements in orthogonal frequency division multiplexing-based software-defined inter-data center elastic optical networks. We consider two types of services which are called delay-sensitive and delay-tolerant. A deterministic and a stochastic mixed-integer nonlinear program with a target of minimizing the total transponder power consumption are formulated which their solutions provide a long-term and a short-term configuration for delay-sensitive service and delay-tolerant service transponders, respectively. We use geometric and stochastic Lyapunov optimization techniques to convert the complex mixed-integer nonlinear formulations to their equivalent convex forms that can be solved more than 1 order of magnitude faster. We demonstrate that total power consumption of delay-tolerant service transponders is reduced by more than 29% when average traffic load is 30% and transponder parameters are stochastically reconfigured rather than fixed configuration. Furthermore, we show that there is an adjustable tradeoff between transmission delay and transponder power consumption in the proposed scheme. We also incorporate transmit optical power as a tunable parameter in the transponder configuration process and use simulation results to demonstrate its impact on power consumption reduction.