• DocumentCode
    2259262
  • Title

    A hierarchical approach to establish an efficient upgrade plan

  • Author

    Zhao, Yixin ; Xu, Ke ; Wang, Anping ; Jianping Wu

  • Author_Institution
    Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    414
  • Lastpage
    418
  • Abstract
    Undesirable information such as the computer virus, route flap, always origins in one area of the network and spreads to others, thus causes far-reaching instability of the network. Upgrading network nodes with new software and/or hardware will help suppress such instability. This paper presents a hierarchical solution to establish an efficient upgrade plan, determining which nodes should be upgraded firstly. The easy-spread of undesirable information is analyzed. Different types of nodes are distinguished according to their abilities to deal with undesirable information. Simulations are performed to acquire a quantitative evaluation of the spread and identify related factors. Based on the theories of the graph, algorithms are given to acquire an efficient upgrading plan. These algorithms work in a hierarchical way taking advantage of the hierarchical structure of the Internet. With complexity analysis, these algorithms are shown to be feasible.
  • Keywords
    Internet; computational complexity; computer viruses; graph theory; network topology; telecommunication network planning; telecommunication network routing; Internet; algorithm complexity analysis; computer virus; efficient upgrade plan; graph theory; hierarchical approach; hierarchical structure; network instability; network nodes; network routing; network topology; route flap; simulations; software; Algorithm design and analysis; Application software; Central Processing Unit; Computer industry; Computer networks; Computer science; Gold; Hardware; Information analysis; Performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks, 2002. ICON 2002. 10th IEEE International Conference on
  • Print_ISBN
    0-7803-7533-5
  • Type

    conf

  • DOI
    10.1109/ICON.2002.1033347
  • Filename
    1033347