• DocumentCode
    380620
  • Title

    Exact sampling of TCP window states

  • Author

    Goel, Ashish ; Mitzenmacher, Michael

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    259
  • Abstract
    We demonstrate how to apply Coupling from the Past, a simulation technique for exact sampling, to Markov chains based on TCP variants. This approach provides a new, statistically sound paradigm for network simulations: instead of simulating a protocol over long times, or explicitly finding the stationary distribution of a Markov chain, use Coupling from the Past to quickly obtain samples from the stationary distribution. Coupling from the Past is most efficient when the underlying state space satisfies a partial order and certain monotonicity conditions. To efficiently apply this general paradigm to TCP, we demonstrate that the states of a simple TCP model possess a monotonic partial order; this order appears interesting in its own right. Preliminary simulation results indicate that this approach is quite efficient, and produces results which am similar to those obtained by simulating a TCP-Tahoe connection.
  • Keywords
    Markov processes; digital simulation; signal sampling; state-space methods; statistical analysis; transport protocols; Coupling from the Past; Markov chains; TCP model; TCP window states; TCP-Tahoe connection; exact sampling; monotonic partial order; monotonicity conditions; network simulations; partial order; simulation technique; state space; stationary distribution; statistically sound paradigm; Computational modeling; Distributed computing; Equations; Physics; Protocols; Sampling methods; Solid modeling; State-space methods; Stochastic processes; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
  • ISSN
    0743-166X
  • Print_ISBN
    0-7803-7476-2
  • Type

    conf

  • DOI
    10.1109/INFCOM.2002.1019267
  • Filename
    1019267