Internet traffic on a network link can be modeled as a stochastic process. After detecting and quantifying the
properties of this process, using well known tools from statistics, as well as some variants,
a series of mathematical models is developed, culminating to one
which is able to generate ``traffic'' that exhibits --as a key feature--
different behavior in different time scales, similar to real traffic, and is moreover indistinguishable from real traffic
by other statistical tests as well. Tools inspired from the models are then used to determine and calibrate
the type of activity taking place in each of the time scales. The above procedure does not require any detailed
information originating from either the network dynamics, or the decomposition of the total traffic into its constituent
user connections, but rather only the compliance of these connections to very weak conditions.
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