IDEAS home Printed from https://ideas.repec.org/a/wsi/apjorx/v25y2008i06ns021759590800205x.html
   My bibliography  Save this article

Enhancing Internet Network Reliability With Integrated Framework Of Multi-Objective Genetic Algorithm And Monte Carlo Simulation

Author

Listed:
  • JONG-RYUL KIM

    (Department of Computer Engineering, Dongseo University, San 69-1, Churye-2-dong, Sasang-ku, Busan 617-716, Korea)

  • DOHOON KIM

    (College of Business Administration, Kyung Hee University, Hoegi-dong-1, Dongdaemoon-gu Seoul 130-701, Korea)

Abstract

This paper presents a combined framework of Multi-Objective Generic Algorithm (MOGA) and Monte Carlo Simulation (MCS) in order to improve backbone topology by leveraging the Virtual Link (VL) system in an hierarchical Link-State (LS) routing domain. Given that the sound backbone topology structure has a great impact on the overall routing performance in a hierarchical LS domain, the importance of this research is evident. The proposed decision model is to find an optimal configuration of VLs that properly meets two-pronged engineering goals in installing and maintaining VLs: i.e., operational costs and network reliability. The experiment results clearly indicates that it is essential to the effective operations of hierarchical LS routing domain to consider not only engineering aspects but also specific benefits from systematical layout of VLs, thereby presenting the validity of the decision model and MOGA with MCS.

Suggested Citation

  • Jong-Ryul Kim & Dohoon Kim, 2008. "Enhancing Internet Network Reliability With Integrated Framework Of Multi-Objective Genetic Algorithm And Monte Carlo Simulation," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 25(06), pages 837-846.
    • Handle: RePEc:wsi:apjorx:v:25:y:2008:i:06:n:s021759590800205x
    DOI: 10.1142/S021759590800205X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S021759590800205X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S021759590800205X?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:apjorx:v:25:y:2008:i:06:n:s021759590800205x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/apjor/apjor.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.