IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v79y1998i0p349-37110.1023-a1018935108188.html
   My bibliography  Save this article

A two-layer queueing model to predict performance of packet transfer in broadband networks

Author

Listed:
  • Hiroshi Inai
  • Jiro Yamakita

Abstract

In this paper, we propose an approximate analytical method to predict the performance of packet transfer in broadband networks. Since the ATM is a promising way to achieve a multimedia data transmission in broadband networks, the underlying network is assumed to be an ATM network. To represent the packet-level and the cell-level data transfers, we introduce a two-layer queueing network model. In the higher layer of the model, the source node (the sender) generates packets and then segments the packets into cells, while the destination node (the receiver) reassembles the arriving cells into the packets. The lower layer model is a tandem queueing network in which each queue corresponds to an ATM switch. We employ a discrete-time analysis of the queueing network model to obtain the packet-level performance measures, such as the end-to-end packet transfer delay, the packet loss probability, and the throughput. In numerical examples, we show some packet transfer delay distributions and effects of the packet size on the packet loss probability. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Hiroshi Inai & Jiro Yamakita, 1998. "A two-layer queueing model to predict performance of packet transfer in broadband networks," Annals of Operations Research, Springer, vol. 79(0), pages 349-371, January.
    • Handle: RePEc:spr:annopr:v:79:y:1998:i:0:p:349-371:10.1023/a:1018935108188
    DOI: 10.1023/A:1018935108188
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1018935108188
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1018935108188?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.

    Citations

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


    Cited by:

    1. Herwig Bruneel & Dieter Fiems & Joris Walraevens & Sabine Wittevrongel, 2014. "Queueing models for the analysis of communication systems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(2), pages 421-448, July.

    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:spr:annopr:v:79:y:1998:i:0:p:349-371:10.1023/a:1018935108188. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.