Traffic models, simulations and measurements
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
T. Basar
,
A robust identification algorithm for traffic models
in telecommunications
,
proceedings of IEEE CDC'99
,
Phoenix, Arizona, USA, Dec. 1999.
S. Alouf ,
E. Altman,
P. Nain
,
Optimal on-line estimation of the size of a dynamic multicast group
[postscript ,
pdf ],
Proceedings of IEEE Infocom
,
New York City, USA, June 2002.
Julio Rojas-Mora, Tania Jimenez and
Eitan Altman,
Simulating Flow Level Bandwidth Sharing with Pareto distributed File Sizes
[pdf,
bibtex].
proceedings of
Valuetools 2011 - 5th International ICST Conference
on Performance Evaluation Methodologies and Tools
,
May 16-20, Paris, France.
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