Abstract
We present an approximate analytic model for providing the statistical QoS (Quality-of-Service) objectives in High-Speed Networks. First, we derive approximate formulae for the tail distribution of the queue length and the cell delay for the discrete time G/D/c queueing system with correlated input arrivals. Next, we present the relationship between the tail distribution of the queue length with the required service rate in the statistical aspects. Next, we present the tail probability of loss period as a statistical QoS measure. We assume the statistical multiplexer of the ATM output port with cell admission regulations based on the arrival processes, and investigate the performances. Finally, we verify the accuracy of the theory via experiments of the numerical computations and simulations.
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