Abstract
AbstractA framework for adaptive bandwidth management in ATM based networks is proposed. It is based on a layered approach which includes bandwidth allocation to virtual networks. The central concept of this approach is adaptive estimation of the effective bandwidth required, by connections carried in the network. To achieve reliable results the estimation process takes into account both the traffic source declarations and the connection superposition process measurements on the network links. This is done in an optimization framework provided by estimation theory. A study, based on a linear two‐state Kalman filter, shows that the proposed approach provides good adaptation to undeclared changes in traffic parameters and that the network performance is significantly improved when compared to the effective bandwidth allocation based solely on the source parameters declarations. These features allow more relaxed source parameter declarations and at the same time permit less stringent source policing. Thus the two bottlenecks influencing bandwidth management in ATM networks can be significantly widened.
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