IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v40y1992i4p689-705.html
   My bibliography  Save this article

A Multiperiod Capacity Planning Model for Backbone Computer Communication Networks

Author

Listed:
  • Amitava Dutta

    (University of Iowa, Iowa City, Iowa)

  • Jay-Ick Lim

    (Cleveland State University, Cleveland, Ohio)

Abstract

The cost of transmission capacity constitutes a significant portion of the total investment cost of a backbone computer communications network. In this paper, we address the problem of deciding where, when and how much transmission capacity should be installed, over a multiperiod horizon , to meet increasing traffic requirements at minimum total discounted cost, while maintaining acceptable performance levels. The model allows traffic among existing nodes to increase, new nodes to be added to the network, and its topology to change, over time. It is formulated as an integer programming problem, and a Lagrangian relaxation based solution method is proposed. Capacity and routing decisions are made jointly over time in our multiperiod model. Furthermore, our method automatically provides numerical verification of solution quality through the Lagrangian lower bound. Computational experiments with several networks show that the method yields verifiably good solutions to this combinatorially explosive problem.

Suggested Citation

  • Amitava Dutta & Jay-Ick Lim, 1992. "A Multiperiod Capacity Planning Model for Backbone Computer Communication Networks," Operations Research, INFORMS, vol. 40(4), pages 689-705, August.
    • Handle: RePEc:inm:oropre:v:40:y:1992:i:4:p:689-705
    DOI: 10.1287/opre.40.4.689
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.40.4.689
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.40.4.689?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Garcia, Bruno-Laurent & Mahey, Philippe & LeBlanc, Larry J., 1998. "Iterative improvement methods for a multiperiod network design problem," European Journal of Operational Research, Elsevier, vol. 110(1), pages 150-165, October.
    2. Gendreau, Michel & Potvin, Jean-Yves & Smires, Ali & Soriano, Patrick, 2006. "Multi-period capacity expansion for a local access telecommunications network," European Journal of Operational Research, Elsevier, vol. 172(3), pages 1051-1066, August.

    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:inm:oropre:v:40:y:1992:i:4:p:689-705. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.