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 behaviour 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 describe 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
It is important to characterize burstiness of Internet traffic and find the causes for building mode...
An historical overview of the discovery of scale invariance in telecommunications networks is given....
Using the ns-2-simulator to experiment with different aspects of user- or session-behaviors and netw...
The complexity and richness of telecommunications traffic is such that one may despair to find any r...
AbstractThe empirical finding of self-similarity in data network traffic over many time scales motiv...
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...
The study of network traffic by flow analysis has been the subject of intense and varied research. W...
In this survey paper, we overview the various network traffic models, especially focusing on the mu...
Traditional Internet traffic studies have primarily focused on the temporal characteristics of packe...
In the mid 1990s, it was shown that the statistics of aggregated time series from Internet traffic d...
Abstract—Properties of heterogeneous network traffic have been investi-gated from different aspects,...
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
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...
It is important to characterize burstiness of Internet traffic and find the causes for building mode...
An historical overview of the discovery of scale invariance in telecommunications networks is given....
Using the ns-2-simulator to experiment with different aspects of user- or session-behaviors and netw...
The complexity and richness of telecommunications traffic is such that one may despair to find any r...
AbstractThe empirical finding of self-similarity in data network traffic over many time scales motiv...
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...
The study of network traffic by flow analysis has been the subject of intense and varied research. W...
In this survey paper, we overview the various network traffic models, especially focusing on the mu...
Traditional Internet traffic studies have primarily focused on the temporal characteristics of packe...
In the mid 1990s, it was shown that the statistics of aggregated time series from Internet traffic d...
Abstract—Properties of heterogeneous network traffic have been investi-gated from different aspects,...
International audienceIn the mid 1990s, it was shown that the statistics of aggregated time series f...
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...
It is important to characterize burstiness of Internet traffic and find the causes for building mode...
An historical overview of the discovery of scale invariance in telecommunications networks is given....
Using the ns-2-simulator to experiment with different aspects of user- or session-behaviors and netw...