Bandwidth Issues White Papers
The Failure of "The Failure of Poisson Modeling" for Internet Bandwidth Measurements
Overview There is a classic paper, which claims that many parameters of network traffic are best modeled by stochastic distributions with infinite variance. The author believes that although this paper is correct, it has commonly been overinterpreted. It is true that some distributions have infinite variance, but not all. There are important cases where distributions of traffic parameters have finite variance. As an example, the paper shows that the end-to-end available bandwidth must have finite variance, outline a method for measuring it, and present some experimental data.
| Publisher | Ericsson | File Format | |
|---|---|---|---|
| Date Published | April 2005 | ||
| Format | White Papers | ||
| Topics | |||



