| S. Chong and S.-Q. Li, "Probabilistic burstiness-curve-based connection control for real-time multimedia services in ATM networks," IEEE Journal on Selected Areas in Communications, vol. 15, no. 6, 1072-1086, August 1997. |
....type of Quality of Service (QoS) guarantees of the packet switched network and the nature of the traffic source. In the case that the traffic source is not known a priori and is stochas tic, a probabilistic burstiness curve based method can be used for call admission control and QoS provisioning [13]. In cases is which the video source is known in advance (stored video case) the selection of an appropriate (0r, p) pair is deterministic. We present a charac teristic example for the selection in which the QoS parameter of interest is the end to end delay. 1.2.2.2.1 Effect of Burstiness on ....
S. Chong and S.-Q. Li, "Probabilistic burstiness-curve-based connection control for real-time multimedia services in ATM networks," IEEE Journal on Selected Areas in Communications, vol. 15, no. 6, 1072-1086, August 1997.
....# . This means that the probability of the queue exceeding B dbr serviced at a rate R should be equal the probability of exceeding B sbr with a burst of b bits when serviced at rate R . Functions like P(Q # B R) have been studied by Chong and Li under the name probabilistic burstiness curves [1]. Given the values for B dbr and B sbr # b , we can determine the difference in smoothing delay for a given maximum burst size. Instead of using the more general probabilistic burstiness curves, we restrict our comparison to the equivalent capacity for a two state Markov chain. The formula by ....
S. Chong and S. Li, "Probabilistic Burstiness--curve--based Connection Control for Real--time Multimedia Services in ATM Networks," IEEE Journal on Selected Areas in Communications, Vol. 15, No. 6, August 1997, pp. 1072--1086.
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