Choosing an Accurate Network Model using Domain Analysis

Almudena Konrad

Ben Y. Zhao

Anthony D. Joseph

*First International Workshop on Performance Modelling in Wired,
Wireless, Mobile Networking and Computing (PMW-MNC05)*

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Paper Abstract

Accurate network modeling is critical to the design of
network protocols. Traditional modeling approaches, such as
Discrete Time Markov Chains (DTMC) are limited in their ability to
model time-varying characteristics. This problem is exacerbated in the
wireless domain, where fading events create extreme burstiness of
delays, losses, and errors on wireless links. In this paper, we
introduce the Multiple states MTA (MMTA), a model based on the data preconditioning
modeling methodology. We then describe a general methodology that
quantifies the accuracy of a given model for a given data trace, and
show how it can be used to choose the most accurate model for a given
network with specific statistical characteristics.