• DocumentCode
    2171795
  • Title

    An integrated environment for intelligent topological design

  • Author

    Pierre, Samuel

  • Author_Institution
    Quebec Univ., Montreal, Que., Canada
  • fYear
    1993
  • fDate
    14-17 Sep 1993
  • Firstpage
    717
  • Abstract
    This paper describes an integrated environment for the topological design of packet-switched computer networks. Based on artificial intelligence techniques, this system called SIDRO integrates four main modules: an initial topology generator, an example generator, an inductive learning module and a user interface module. Such a system is suitable for designing large scale data switching computer networks, in the sense that it ensures a high degree of reliability. One of the most significant contributions of SIDRO consists of a three level characterization of network topologies, leading to some topological features or descriptors which allow the building and application efficient rules for the reduction of total link cost of network topologies
  • Keywords
    artificial intelligence; computer networks; data communication systems; economics; fault tolerant computing; modules; network topology; packet switching; reliability; user interfaces; SIDRO; application efficient rules; artificial intelligence techniques; example generator; inductive learning module; initial topology generator; integrated environment; intelligent topological design; large scale data networks; link cost reduction; network design; network topologies; packet-switched computer networks; reliability; user interface module; Application software; Artificial intelligence; Buildings; Computer network reliability; Computer networks; Costs; Large-scale systems; Learning; Network topology; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1993. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1993.332397
  • Filename
    332397