IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v38y1990i3p506-518.html
   My bibliography  Save this article

An Integral Equation Approach to the M/G/2 Queue

Author

Listed:
  • C. Knessl

    (Northwestern University, Evanston, Illinois)

  • B. J. Matkowsky

    (Northwestern University, Evanston, Illinois)

  • Z. Schuss

    (Tel Aviv University, Tel Aviv, Israel)

  • C. Tier

    (University of Illinois at Chicago, Chicago, Illinois)

Abstract

We study the stationary distribution of the number of customers in M/G/2 queueing systems. The two servers are allowed to have different service time distributions. We include the elapsed service times of the customers presently served as supplementary variables and obtain the forward equations satisfied by the joint stationary distribution of the number of customers and the elapsed service times. Using a sequence of transformations, we reduce the problem of determining the marginal probabilities of the number of customers present to the solution of a pair of coupled integral equations. When the servers are identical, only a single integral equation must be solved. The solution of the integral equation(s), and with it the stationary distribution of the number of customers, is constructed for several specific service time densities (e.g., Erlang, hyperexponential, and deterministic).

Suggested Citation

  • C. Knessl & B. J. Matkowsky & Z. Schuss & C. Tier, 1990. "An Integral Equation Approach to the M/G/2 Queue," Operations Research, INFORMS, vol. 38(3), pages 506-518, June.
  • Handle: RePEc:inm:oropre:v:38:y:1990:i:3:p:506-518
    DOI: 10.1287/opre.38.3.506
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.38.3.506
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.38.3.506?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. Berezhkovskii, A.M. & Zitserman, V.Yu., 1992. "Multidimensional activated rate processes with slowly relaxing mode," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 187(3), pages 519-550.
    2. Müller, Reinhard & Talkner, Peter & Reimann, Peter, 1997. "Rates and mean first passage times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 247(1), pages 338-356.

    More about this item

    Keywords

    queues: length distribution in M/G/2;

    Statistics

    Access and download statistics

    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:38:y:1990:i:3:p:506-518. 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.