Efficient techniques for the simulation of computer communications networks
Frost
Larue
Shanmugan
Abstract
| Even though the processing speed of modern computers has
continued to increase, the statistical nature of Monte Carlo
techniques still presents significant computational problems
in the simulation of computer communications networks. A
variety of techniques has been developed over the years to improve the
computational efficiency of simulation models of general queueing
networks. Some of these approaches have been applied to communications
networks. The purpose of this paper is to review that status of
effiency enhancing techniques as they relate to the simulation
of computer communication networks, present some new approaches, and
suggest promising areas for future research.
|
Keywords
efficiency in simulation
hybrid
variance reduction
Notes
| Two techniques to increase the performance of network simulators
are presented.
The hybrid technique is discussed, and previous work introduced. The
technique is subdivided in two: partition based hybrid simulation, where
sub nodes are analytically modeled, others simulated; decomposition, in which
different layers of the protocol tree are modeled analytically or simulated.
Variance reduction techniques are statistical methods to extract more
information from the data generated during simulation.
|
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Bibtex
@article{ frost.wood.larue88,
author = "V. Frost and W. Larue and K. Shanmugan",
title = "Efficient techniques for the simulation of computer communications networks",
journal="IEEE Journal on Selected Areas in Communications",
volume ="6",
number ="1",
pages ="146 -- 157",
month ="Jan.",
text = "V. S. Frost, W. Larue, and K. S. Shanmugan. Efficient techniques for the
simulation of computer communications networks. IEEE Journal on selected
areas in communications, 6(1):146 -- 157, January 1988.",
year = "1988"
}