Team rap

Overall Objectives
Scientific Foundations
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Overall Objectives

Overall Objectives

The research team Rap (Networks, Algorithms and Communication Networks) created in 2004 is issued from a long standing collaboration between engineers at France Telecom R&D in Lannion and researchers from INRIA-Rocquencourt. The initial objective was to formalize and expand this fruitful collaboration.

At France-Telecom R&D in Lannion, the members of the team are experts in the analytical modeling of communication networks as well as on some of the operational aspects of networks management concerning traffic measurements on ADSL networks for example.

At INRIA-Rocquencourt, the members of RAP have a recognized expertise in modeling methodologies applied to stochastic models of communication networks.

From the very beginning, it has been decided that the efforts of RAP project will focus on few dedicated domains of application over a period of three or four years. The general goal of the collaboration is to develop, analyze and optimize algorithms for communication networks. For the moment, the current projects are :

  1. Mathematical Models of Traffic Measurements of ADSL traffic.

  2. Design of Algorithms to Sample TCP flows.

The Rap project also aims at developing new fundamental tools to investigate probabilistic models of complex communication networks. We believe that mathematical models of complex communication networks require a deep understanding of general results on stochastic processes. It could be argued that, since stochastic networks are « applied », general results concerning Markov processes (for example) are not of a real use in practice and therefore that ad-hoc results are more helpful. Recent developments in the study of communication networks have shown that this point of view is flawed. Technical tools such as scaling methods, large deviations and rare events, requiring a good understanding of some fundamental results concerning stochastic processes, are now used in the analysis of these stochastic models. Two domains are currently investigated

  1. Design and Analysis of Algorithms for Communication Networks. See Section  3.2 .

  2. Analysis of scaling methods for Markov processes : fluid limits and functional limit theorems. See Section  3.3 .


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