• DocumentCode
    578367
  • Title

    Cascading network failure based on local load distribution and non-linear relationship between initial load and capacity

  • Author

    Yi-Hua Ma ; Dong-Li Zhang

  • Author_Institution
    Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
  • Volume
    3
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    935
  • Lastpage
    940
  • Abstract
    Inspired by previous existing works, based on the local preferential redistribution rule of the load and the non-linear relation between load and capacity, we put forward a cascading model which is more practical and more suitable for real networks. We analyze the model theoretically and simulate it on BA scale-free network. In comparison with the strongest robustness against cascading failures of the linear load-capacity model in the case of α = 0.5 , we find that the robustness of the network can reach stronger in the case of δ ≠ 1, which is a tunable parameter controlling the strength of the capacity of node in our model. The results show that the model is effective. So it may be helpful to control cascading network failure and research on cascading failure deeply.
  • Keywords
    cascade control; complex networks; failure analysis; load distribution; BA scale-free network; cascading model; cascading network failure control; linear load-capacity model; local load distribution; local preferential redistribution load rule; nonlinear relationship; real networks; tunable parameter control; Abstracts; Barium; Load modeling; Robustness; Cascading failure; Complex networks; Local load distribution; Non-linear relationship;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6359479
  • Filename
    6359479