• DocumentCode
    780186
  • Title

    Two Parallel M/G/1 Queues where Arrivals Join the System with the Smaller Buffer Content

  • Author

    Knessl, Charles ; Matkowsky, Bernard J. ; Schuss, Zeev ; Tier, Charles

  • Author_Institution
    The Technological Institute, Northwestern Univ., Evanston, IL, USA
  • Volume
    35
  • Issue
    11
  • fYear
    1987
  • fDate
    11/1/1987 12:00:00 AM
  • Firstpage
    1153
  • Lastpage
    1158
  • Abstract
    We consider two parallel, infinite capacity, M/G/1 queues characterized by ( U_{1}(t), U_{2}(t) ) with U_{j}(t) denoting the unfinished work (buffer content) in queue j . A new arrival is assigned to the queue with the smaller buffer content. We construct formal (as opposed to rigorous) asymptotic approximations to the Joint stationary distribution of the Markov process ( U_{1}(t), U_{2}(t) ), treating separately the asymptotic limits of heavy traffic, light traffic, and large buffer contents. In heavy traffic, the stochastic processes U_{1}(t) + U_{2}(t) and U_{2}(t) - U_{1}(t) become independent, with the distribution of U_{1}(t) + U_{2}(t) identical to the heavy traffic waiting time distribution in the standard M/G/2 queue, and the distribution of U_{2}(t) - U_{1}(t) closely related to the tail of the service time density. In light traffic, we obtain a formal expansion of the stationary distribution in powers of the arrival rate.
  • Keywords
    Queued communications; Communications Society; Delay; Markov processes; Mathematics; Probability distribution; Routing; Statistics; Stochastic processes; Traffic control; Wide area networks;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOM.1987.1096701
  • Filename
    1096701