Effective bandwidths at multi-class queues
Queueing Systems: Theory and Applications
An approximation method for capturing complex traffic behavior in high speed networks
Performance Evaluation - Special issue on bandwidth management and congestion control of high-speed networks
Managing virtual paths on Xunet III: architecture, experimental platform and performance
Proceedings of the fourth international symposium on Integrated network management IV
Entropy of ATM traffic streams: a tool for estimating QoS parameters
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Resource management in wide-area ATM networks using effective bandwidths
IEEE Journal on Selected Areas in Communications
A decision-theoretic approach to call admission control in ATM networks
IEEE Journal on Selected Areas in Communications
Queueing Systems: Theory and Applications
An adaptive approach to manage traffic in CDMA ATM networks
Computer Communications
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The asymptotics of cell-loss ratio (CLR) in the regime of large buffers are characterized by two parameters, the asymptotic constant and asymptotic decay rate. Both parameters can be expanded in powers of one minus the link utilization (heavy traffic expansion), Thus, once the coefficients in this expansion are obtained, the CLR can be very easily estimated from the measured link utilization by using CLR asymptotics. This paper proposes an algorithm for estimating these coefficients in, real time. For this purpose, the notion of state-space representation for a single-server queue is introduced: the elements of the state vector are the coeficients in the expansion of the asymptotic constant and asymptotic decay rate. Bayesian regression analysis is applied to estimate the state vector based on the buffer measurement. Our approach does not require any models describing the statistics of the traffic other than the asymptotic behavior of the CLR in the regime of large buffers. In addition, it allows us to estimate the effective bandwidth of the aggregated process easily, so it is applicable to a wide range of ATM traffic control methods, such as connection admission control and VP bandwidth control. We describe how this method of CLR estimation will be ap- plied to connection admission control and VP bandwidth control by using results from simulation experiments.