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Energy-efficient service provisioning in inter-data center elastic optical networks

Hadi, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TGCN.2018.2876338
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. 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. © 2017 IEEE
  6. Keywords:
  7. Green communication ; Stochastic Lyapunov optimization ; Convex optimization ; Delay tolerant networks ; Electric power utilization ; Fiber optic networks ; Green computing ; Information management ; Integer programming ; Nonlinear programming ; Optical fiber communication ; Optical fibers ; Optimization ; Quality of service ; Resource allocation ; Stochastic systems ; Telecommunication services ; Transponders ; Data centers ; Elastic optical networks ; Geometric optimization ; Green communications ; Lyapunov optimizations ; Optical fiber networks ; Power demands ; Resource management ; Energy efficiency
  8. Source: IEEE Transactions on Green Communications and Networking ; Volume 3, Issue 1 , 2019 , Pages 180-191 ; 24732400 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8493368