Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers

Research Article

Energy Efficient Spectrum Allocation in IP-over-EON with Traffic Grooming

  • @INPROCEEDINGS{10.1007/978-3-319-46909-6_4,
        author={Bingbing Li and Young-Chon Kim},
        title={Energy Efficient Spectrum Allocation in IP-over-EON with Traffic Grooming},
        proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers},
        proceedings_a={ICTCC},
        year={2017},
        month={1},
        keywords={Elastic Optical Network MILP Power consumption Traffic grooming},
        doi={10.1007/978-3-319-46909-6_4}
    }
    
  • Bingbing Li
    Young-Chon Kim
    Year: 2017
    Energy Efficient Spectrum Allocation in IP-over-EON with Traffic Grooming
    ICTCC
    Springer
    DOI: 10.1007/978-3-319-46909-6_4
Bingbing Li1,*, Young-Chon Kim1,*
  • 1: Chonbuk National University
*Contact email: bingbingli@jbnu.ac.kr, yckim@jbnu.ac.kr

Abstract

Elastic optical network (EON) based on flexible grid and optical orthogonal frequency division modulation (OFDM) has emerged as an innovative approach to meet the ever-increasing demand. In EON, traffic grooming can improve the efficiency of spectrum by removing the guard band between two adjacent channels. Although network spectrum resource can be utilized more efficiently by traffic grooming, the operation leads to considerable power consumption due to the high data rate of transponder and electronic processing overhead at intermediate nodes. In this paper, we investigate the power consumption of IP-over-EON with traffic grooming. An efficient mixed integer linear programming (MILP) model is proposed to solve the spectrum allocation problem with the objective to minimize network power consumption in IP-over-EON with traffic grooming. The performance of the proposed model is evaluated in terms of spectrum allocation and energy consumption through a case study.