Maria Papadopouli, Forth, Crete, Greece

Location :

LRI - Laboratoire de recherche en Informatique
https://www.lri.fr//info.pratiques.php
Room 101 - bâtiment 490

Abstract :

Models of user traffic demand are fundamental inputs to the design and engineering of data 
networks. This talk addresses this requirement in the context of large-scale wireless infrastructures 
using real-measurement (i.e., empirical) data.

Our proposed models are validated over two different monitoring periods at various levels of 
spatial aggregation, from individual access points (APs) to the whole network. Based on these 
models, we generated synthetic traffic for various spatio-temporal granularities and compared them 
with the empirical data. The comparison clearly illustrates the trade-off between model scalability 
and accuracy in capturing local-scale traffic dynamics.

This talk will present the evaluation of these models using also systems-based benchmarks, 
such as the throughput, goodput, delay and jitter per flow in a hotspot AP. Specifically, the 
performance of the proposed models is very close to the one produced when the empirical traces are 
used. Moreover, the performance of popular models deviates substantially from the empirical 
data. These results were verified via both simulations and emulations and using tcp- and 
udp-based scenarios. The analysis will also highlight the impact of flow sizes, flow 
interarrivals, and application mixes on the wireless lan performance. Finally, a flexible framework that 
can be used to generate synthetic traces with different workload characteristics for various 
performance analysis studies will be presented. 

Host :

Khaldoun Al Agha