Here we demonstrate that these results are one end of a continuum of traffic characteristics. At the other end are Poisson behavior and independence. Abstract Traffic variables on an uncongested Internet wire exhibit a pervasive nonstationarity. As r, the TCP connection rate, changes, marginal distributions and long range dependence change. Abstract Traffic matrices are extremely useful for network configuration, management, engineering, and pricing.
Direct measurement is, however, expensive in general and impossible in some cases.
This paper proposes a scalable algorithm for statistically estimating a traffic matrix from the readily available link counts. The proposed algorithm is tested on a real network with 18 nodes. The estimates are comparable to the direct estimates but require dramatically less computation. Abstract TCP start times for HTTP are nonstationary. The nonstationarity occurs because the start times on a link, a point process, are a superposition of source traffic point processes, and the statistics of superposition changes as the number of superposed processes changes.