ATM Traffic Analysis: Burst Scale Probability Function

  • Kemelmacher, E.Rozenshine (Dept. of Mathematics and Computer Science, Bar-Ilan University)
  • Published : 2002.07.01

Abstract

The paper presents the analysis and results of traffic measurements in the 155 Mbit/s real working ATM backbone network. The traffic is described as an ordered sequence of real-time cells. In this paper we analyze two timescales in which some form of a stochastic process is taking place: cell scale and burst scale. We present another way to describe the cell flow in ATM networks by definition the function, designed to be the probability of the burst of length ∫in n sequential slots.

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