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Summary: Wireless Traffic: The Failure of CBR Modeling
Stefan Karpinski, Elizabeth M. Belding, Kevin C. Almeroth
{sgk,ebelding,almeroth}@cs.ucsb.edu
Department of Computer Science
University of California, Santa Barbara
Abstract-- When new wireless technologies are deployed and
subjected to real usage patterns, unforeseen performance prob-
lems inevitably seem to arise, to be fixed only in later generations.
Why do these performance issues fail to appear in experi-
mental settings before the technology is deployed? We believe
that one of the major reasons behind the discrepancies found
between experimental performance evaluations and real-world
experience lies in the unrealistic workload patterns typically
used in experiments. One of the significant contributions of
this work is to rigorously demonstrate that common synthetic
traffic models for wireless local-area networks induce drastically
distorted performance metrics at every layer of the protocol
stack. In order to show this, we present a testable definition of
"sufficient realism" for traffic models, and develop the theoretical
methodology necessary to interpret experimental results using
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