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Towards Realistic Models of Wireless Workload Stefan Karpinski, Elizabeth M. Belding, Kevin C. Almeroth
 

Summary: Towards Realistic Models of Wireless Workload
Stefan Karpinski, Elizabeth M. Belding, Kevin C. Almeroth
Department of Computer Science
University of California, Santa Barbara
{sgk,ebelding,almeroth}@cs.ucsb.edu
Abstract-- Performance predictions from wireless networking
laboratory experiments rarely seem to match what is seen once
technologies are deployed. We believe that one of the major
factors hampering researchers' ability to make more reliable
forecasts is the inability to generate realistic workloads. To
redress this problem, we take a fundamentally new approach to
measuring the realism of wireless traffic models. In this approach,
the realism of a model is defined directly in terms of how
accurately it reproduces the performance characteristics of actual
network usage. This cuts through the Gordian knot of deciding
which statistical features of traffic traces are significant. We
demonstrate that common experimental traffic models, such as
uniform constant bit-rate traffic (CBR), drastically misrepresent
performance metrics at all levels of the protocol stack. We
also define and explore the space of synthetic traffic models,

  

Source: Almeroth, Kevin C. - Department of Computer Science, University of California at Santa Barbara

 

Collections: Computer Technologies and Information Sciences