A Traffic Measurement Method and its Application for Cell Loss Probability Estimation in ATM Networks

Focuses on how to determine a set of parameters describing cell arrival stream characteristics and how to evaluate the accuracy of these measurements. Since a cell arrival stream is both correlated and bursty, the autocorrelation characteristics between the number of arriving cells in two adjacent intervals are analyzed, and then the time interval is determined for which the autocorrelation may be neglected. It is also shown that this set of parameters can represent the first and approximately second moment statistics during any interval. A method of estimating cell loss probability through the use of a queuing model that has an input process is presented. The input process is determined from the set of parameters that describe the characteristics of the source. In order to verify the accuracy, a brief simulation study is carried out. >

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