4 citations · 6 across the 4 of their papers we have counts for
4 papers
Analysis of a Bloom Filter Algorithm via the Supermarket Model
Yousra Chabchoub, Christine Fricker, Hanene Mohamed
This paper deals with the problem of identifying elephants in the Internet Traffic. The aim is to analyze a new adaptive algorithm based on a Bloom Filter. This algorithm uses a so…
On the Statistical Characterization of Flows in Internet Traffic with Application to Sampling
Yousra Chabchoub, Christine Fricker, Fabrice Guillemin +1
A new method of estimating some statistical characteristics of TCP flows in the Internet is developed in this paper. For this purpose, a new set of random variables (referred to as…
Adaptive algorithms for identifying large flows in IP traffic
Youssef Azzana, Yousra Chabchoub, Christine Fricker +2
We propose in this paper an on-line algorithm based on Bloom filters for identifying large flows in IP traffic (a.k.a. elephants). Because of the large number of small flows, hash…
Inference of Flow Statistics via Packet Sampling in the Internet
Yousra Chabchoub, Christine Fricker, Fabrice Guillemin +1
We show in this note that by deterministic packet sampling, the tail of the distribution of the original flow size can be obtained by rescaling that of the sampled flow size. To re…