Graduate School and Research Center in Digital Sciences

Causal study of network performance

Hours, Hadrien; Biersack, Ernst W; Loiseau, Patrick

ALGOTEL 2014, 16èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, June 3-6, 2014, Le-Bois-Plage-en-Ré, France

The use of Internet in the every day life has pushed its evolution in a very fast way. The heterogeneity of the equipments supporting its networks, as well as the different devices from which it can be accessed, have participated in increasing the complexity of understanding its global behavior and performance. In our study we propose a new method for studying the performance of TCP protocol based on causal graphs. Causal graphs offer models easy to interpret and use. They highlight the structural model of the system they represent and give us access to the causal dependences between the different parameters of the system. One of the major contribution of causal graphs is their ability to predict the effects of an intervention from observations made before this intervention.

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Title:Causal study of network performance
Keywords:Bayesian graph, Causality, Network Performance, TCP Proto col
Department:Data Science
Eurecom ref:4280
Bibtex: @inproceedings{EURECOM+4280, year = {2014}, title = {{C}ausal study of network performance}, author = {{H}ours, {H}adrien and {B}iersack, {E}rnst {W} and {L}oiseau, {P}atrick}, booktitle = {{ALGOTEL} 2014, 16{\`e}mes {R}encontres {F}rancophones sur les {A}spects {A}lgorithmiques des {T}{\'e}l{\'e}communications, {J}une 3-6, 2014, {L}e-{B}ois-{P}lage-en-{R}{\'e}, {F}rance}, address = {{L}e-{B}ois-{P}lage-en-{R}{\'e}, {FRANCE}}, month = {04}, url = {} }
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