Title :
Characterization of the cell flow using burst scale probability algorithm
Author :
Rozenshine-Kemelmacher, Emily
Author_Institution :
Dept. of Math. & Comput. Sci., Bar-Ilan Univ., Ramat-Gan, Israel
Abstract :
The paper presents the analysis and results of traffic measurements in the 155 Mbit/s ATM backbone network. The traffic is described as an ordered sequence of real-time cells. We present an evaluation of cell flow characteristics in a real working ATM network, analysis of cell distribution based on experimental data, and analysis of cell distribution based on the Markov model. We also present another way to describe and check the cell flow in ATM networks by definition of the function Q(l,n), designed to be the probability of the burst of length l in n sequential slots.
Keywords :
Markov processes; asynchronous transfer mode; telecommunication traffic; 155 Mbit/s; ATM backbone network; Markov model; burst scale probability algorithm; cell distribution; cell flow; real-time cells; traffic measurements; Analytical models; Asynchronous transfer mode; Communication system traffic control; Computational modeling; Computer science; Mathematics; Statistics; Switches; Telecommunication traffic; Traffic control;
Conference_Titel :
High Speed Networks and Multimedia Communications 5th IEEE International Conference on
Print_ISBN :
0-7803-7600-5
DOI :
10.1109/HSNMC.2002.1032564
