Traffic models, simulations and measurements
In the first paper we use a novel H-infinity approach in order
to identify the parameters of an AR (Auto-Regressive) process
fead by an noize, not necessarily Gaussian.
This is used for modeling and synthesis of video traffic.
AR models are useful in flow control
for modeling non-controlled VBR traffic, see
Flow control in telecommunication networks .
In the work with S. Alouf and P. Nain we design estimators of population
size in a multicast group using filtering theory.
O. Ait-Hellal , E. Altman and
A robust identification algorithm for traffic models
proceedings of IEEE CDC'99
Phoenix, Arizona, USA, Dec. 1999.
S. Alouf ,
Optimal on-line estimation of the size of a dynamic multicast group
Proceedings of IEEE Infocom
New York City, USA, June 2002.
Julio Rojas-Mora, Tania Jimenez and
Simulating Flow Level Bandwidth Sharing with Pareto distributed File Sizes
Valuetools 2011 - 5th International ICST Conference
on Performance Evaluation Methodologies and Tools
May 16-20, Paris, France.
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