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
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;
Conference_Titel :
INFOCOM 2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Print_ISBN :
0-7803-7476-2
DOI :
10.1109/INFCOM.2002.1019267