• DocumentCode
    1110300
  • Title

    All-to-all broadcast by flooding in communications networks

  • Author

    Topkis, Donald M.

  • Author_Institution
    Graduate Sch. of Manage., California Univ., Davis, CA, USA
  • Volume
    38
  • Issue
    9
  • fYear
    1989
  • fDate
    9/1/1989 12:00:00 AM
  • Firstpage
    1330
  • Lastpage
    1333
  • Abstract
    The author establishes the worst-case time complexity of all-to-all broadcast, which involves the simultaneous broadcast of messages from each node in a network to each other node, as with the dissemination of network status information for adaptive routing in ARPANET, by flooding. It it shown to be almost two times the optimum. This suboptimality of flooding results from the selection method permitting some message(s) to be consistently blocked by others. It is possible to avoid such blocking and attain the optimal worst-case time complexity by flooding within a spanning subtree. Simulations examine the performance of all-to-all broadcast by flooding using different selection methods. The best overall performance came using random selection, with FIFO next best, followed by LIFO, and in-order last. This relative performance is consistent with the hypothesis that flooding will generally perform better if implemented with a selection method that tends to avoid having some message(s) consistently blocked by others. Simulations show that the optimal worst-case time complexity is rarely exceeded, and then by only a relatively small amount
  • Keywords
    computational complexity; computer networks; ARPANET; FIFO; LIFO; adaptive routing; all-to-all broadcast; communications networks; flooding; simultaneous broadcast; spanning subtree; suboptimality; worst-case time complexity; ARPANET; Broadcasting; Communication networks; Computational modeling; Computer networks; Distributed computing; Distributed databases; Floods; Intelligent networks; Routing;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/12.29474
  • Filename
    29474