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Vortrag
Applied Probability Modeling of Data Networks
Dienstag 19.06.2007, 17:15 - 18:30
Veranstaltungsort:
Raum: M/I HS 3 ( = 00.06.011), Garching, Boltzmannstr. 3
Veranstaltung:
Fakultätskolloquium der Fakultät für Mathematik der Technischen Universität München
Vortragender:
Prof. Dr. Sidney Resnick
School of Operations Research and Information Engineering, Cornell University
Ithaca NY
Abstract
Data networks offer challenges for applied probability modeling and provide copious amounts of data for model validation. A broad set of skills can be productively employed but a key challenge here, as in many modeling problems, is understanding dependence. We survey some discoveries, give some useful but primitive input models and outline some issues still to be resolved. In particular we will survey some triumphs and limitations of Poisson based input models.
Data networks offer challenges for applied probability modeling and provide copious amounts of data for model validation. A broad set of skills can be productively employed but a key challenge here, as in many modeling problems, is understanding dependence. We survey some discoveries, give some useful but primitive input models and outline some issues still to be resolved. In particular we will survey some triumphs and limitations of Poisson based input models.
Ansprechpartner
Dr. Klaus-Dieter Reinsch
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