2nd International ICST Conference on Broadband Networks

Research Article

A time and cost efficient dynamic traffic grooming algorithm for optical mesh networks

  • @INPROCEEDINGS{10.1109/ICBN.2005.1589751,
        author={Thanh-Thao Nguyen Thi  and Trung Tran Minh and Quang-Dzung Ho and Man-Seop Lee},
        title={A time and cost efficient dynamic traffic grooming algorithm for optical mesh networks},
        proceedings={2nd International ICST Conference on Broadband Networks},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2006},
        month={2},
        keywords={},
        doi={10.1109/ICBN.2005.1589751}
    }
    
  • Thanh-Thao Nguyen Thi
    Trung Tran Minh
    Quang-Dzung Ho
    Man-Seop Lee
    Year: 2006
    A time and cost efficient dynamic traffic grooming algorithm for optical mesh networks
    BROADNETS
    IEEE
    DOI: 10.1109/ICBN.2005.1589751
Thanh-Thao Nguyen Thi 1,*, Trung Tran Minh1,*, Quang-Dzung Ho1,*, Man-Seop Lee1,*
  • 1: Optical Internet Research Center, Information and Communications University, 119, Munjiro, Yuseong, Daejeon, 305-732, Korea
*Contact email: thanhthao@icu.ac.kr, trungtm@icu.ac.kr, hqdung@icu.ac.kr , leems@icu.ac.kr

Abstract

Traffic grooming is an efficient technique to utilize network resources by packing low speed traffic streams onto a high speed lightpath. Since many existing traffic grooming algorithms still have very high complexities, and do not consider the costs paid for network systems; in this paper, we propose a time and cost efficient dynamic traffic grooming algorithm (TCGA). The novelty of this heuristic algorithm is that it can reduce the complexity by removing redundant nodes when constructing the reachability graph. Then, from the graph established, we propose the cost functions to determine the optimal grooming path for a new connection request with the minimum cost. The simulation results show that our algorithm has a lower complexity, while still ensuring a comparable blocking performance, compared with other existing approaches