2nd International ICST Conference on Communications and Networking in China

Research Article

Graph Partition Based Traffic Balance in Industrial Network

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469422,
        author={Feng Li and Yanjun Xiao and Qizhi Zhang},
        title={Graph Partition Based Traffic Balance in Industrial Network},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={graph partition industrial network},
        doi={10.1109/CHINACOM.2007.4469422}
    }
    
  • Feng Li
    Yanjun Xiao
    Qizhi Zhang
    Year: 2008
    Graph Partition Based Traffic Balance in Industrial Network
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469422
Feng Li1,*, Yanjun Xiao2,*, Qizhi Zhang1,*
  • 1: Automation department Shanghai Jiao Tong University Shanghai, China 200240
  • 2: Mechanical Engineering School Hebei University of Technology Tianjin China,300130
*Contact email: lifeng@sjtu.edu.cn, xyj@jsmail.hebut.edu.cn, zhangqz@sjtu.edu.cn

Abstract

The traffic load balancing problem in switched industrial Ethernet is a key component of QoS performance, which is shown to be equivalent to a multi-constraint optimization problem: the network design should minimize the amount of inter-network communication time, and simultaneously balance the communication time and network size evenly over the resultant sub-networks. To solve this optimization problem, a graph partitioning strategy is proposed, which can give a good network solution by partitioning a graphbased representation of industrial network. In the experiments the network partitions obtained by graph partitioning strategy are compared with those obtained by a random partitioning method. The experimental results show the graph partitioning strategy is significantly better than those obtained by random partitioning method.