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telecommunicationsMusic genre
The complexity and richness of telecommunications traffic is such that one may despair to find any regularity or explanatory principles. Nonetheless, the discovery of scaling behavior in tele-traffic has provided hope that parsimonious models can be found. The statistics of scaling behavior present many challenges, especially in non-stationary environments. In this paper, we overview the state of the art in this area, focusing on the capabilities of the wavelet transform as a key tool for unravelling the mysteries of traffic statistics and dynamics
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
Network traffic exhibits fractal characteristics such as self-similarity and long-range dependence. ...
Journal PaperWe perform an extensive wavelet analysis of Internet backbone traffic signals to observ...
The complexity and richness of telecommunications traffic is such that one may despair to find any r...
The study of network traffic by flow analysis has been the subject of intense and varied research. W...
The empirical finding of self-similarity in data network traffic over many time scales motivates the...
AbstractThe empirical finding of self-similarity in data network traffic over many time scales motiv...
It is important to characterize burstiness of Internet traffic and find the causes for building mode...
Abstract—Properties of heterogeneous network traffic have been investi-gated from different aspects,...
A detailed analysis of traffic measurements shows that the aggregation of these measurements forms a...
An historical overview of the discovery of scale invariance in telecommunications networks is given....
Masters ThesisIn this thesis, we develop a simple and powerful multiscale model for the synthesis of...
AbstractThe empirical finding of self-similarity in data network traffic over many time scales motiv...
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
© 2017 IEEE. In the mid 1990s, it was shown that the statistics of aggregated time series from Inter...
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
Network traffic exhibits fractal characteristics such as self-similarity and long-range dependence. ...
Journal PaperWe perform an extensive wavelet analysis of Internet backbone traffic signals to observ...
The complexity and richness of telecommunications traffic is such that one may despair to find any r...
The study of network traffic by flow analysis has been the subject of intense and varied research. W...
The empirical finding of self-similarity in data network traffic over many time scales motivates the...
AbstractThe empirical finding of self-similarity in data network traffic over many time scales motiv...
It is important to characterize burstiness of Internet traffic and find the causes for building mode...
Abstract—Properties of heterogeneous network traffic have been investi-gated from different aspects,...
A detailed analysis of traffic measurements shows that the aggregation of these measurements forms a...
An historical overview of the discovery of scale invariance in telecommunications networks is given....
Masters ThesisIn this thesis, we develop a simple and powerful multiscale model for the synthesis of...
AbstractThe empirical finding of self-similarity in data network traffic over many time scales motiv...
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
© 2017 IEEE. In the mid 1990s, it was shown that the statistics of aggregated time series from Inter...
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
Network traffic exhibits fractal characteristics such as self-similarity and long-range dependence. ...
Journal PaperWe perform an extensive wavelet analysis of Internet backbone traffic signals to observ...
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