• DocumentCode
    921945
  • Title

    Computing approximate blocking probabilities for large loss networks with state-dependent routing

  • Author

    Chung, Shun-Ping ; Kashper, Arik ; Ross, Keith W.

  • Author_Institution
    Nat. Taiwan Inst. of Technol., Taipei, Taiwan
  • Volume
    1
  • Issue
    1
  • fYear
    1993
  • fDate
    2/1/1993 12:00:00 AM
  • Firstpage
    105
  • Lastpage
    115
  • Abstract
    A reduced load approximation (also referred to as an Erlang fixed point approximation) for estimating point-to-point blocking probabilities in loss networks (e.g., circuit switched networks) with state-dependent routing is considered. In this approximation scheme, the idle capacity distribution for each link in the network is approximated, assuming that these distributions are independent from link to link. This leads to a set of nonlinear fixed-point equations which can be solved by repeated substitutions. The accuracy and the computational requirements of the approximation procedure for a particular routing scheme, namely least loaded routing, is examined. Numerical results for six-node and 36-node asymmetric networks are given. A novel reduced load approximation for multirate networks with state-dependent routing is also presented
  • Keywords
    circuit switching; telecommunication network routing; telecommunication networks; 36-node asymmetric networks; 6-node asymmetric networks; Erlang fixed point approximation; approximate blocking probabilities; circuit switched networks; idle capacity distribution; large loss networks; least loaded routing; nonlinear fixed-point equations; point-to-point blocking probabilities; reduced load approximation; state-dependent routing; Capacity planning; Computer networks; Markov processes; Nonlinear equations; Poisson equations; Routing; State estimation; Switching circuits; Telecommunication control; Telecommunication traffic;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/90.222911
  • Filename
    222911