• DocumentCode
    2109414
  • Title

    Optimal routing into two heterogeneous service stations with delayed information

  • Author

    Artiges, Damien

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    2737
  • Abstract
    We consider the problem of optimal routing of messages into two queues. The aim is to minimize some cost, composed of a holding cost which is linear in the queue lengths plus an admission cost. As often happens in high-speed communication networks, we assume that the decision maker has a delayed information on the state of the network. We study this problem in the framework of Markov decision processes with a countable state space and unbounded cost; both the discounted and the average cost are considered. We establish some supermodularity properties of the value function using “value-iteration” arguments, this in turn enables us to characterize the optimal policy. It is shown to be monotone, and is characterized by some switching curves
  • Keywords
    Markov processes; decision theory; minimisation; queueing theory; telecommunication network routing; Markov decision processes; admission cost; average cost; cost minimization; countable state space; delayed information; discounted cost; heterogeneous service stations; high-speed communication networks; holding cost; monotone policy; optimal message routing; queues; supermodularity properties; switching curves; unbounded cost; value function; value-iteration arguments; Communication networks; Cost function; Delay effects; Dynamic programming; High-speed networks; Optimal control; Propagation delay; Queueing analysis; Routing; State-space methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325693
  • Filename
    325693