We propose an adaptive measurement-based admission control algorithm that uses optimization procedure to choose an appropriate measurement window size dynamically. Previous designs on measurement-bared admission control mainly focused on strategies that consider the worst case traffic source model to guarantee QoS bounds for all connections. In this paper, we develop a simple mechanism in which both statistical multiplexing gain and QoS are considered An accurate formula for the cell loss probability which is combined with measurements, is presented for refined on/off traffic model. Furthermore, more accurate measurements of traffic would be given to admission controller through optimized window size. The proposed adaptive control is an appealing alternative: not only does it offer adaptivity to changing traffic conditions, but supports a guarantee that loss QoS bound is not violated due to the admission of new calls into ATM network. Simulations were performed to test the performance of the proposed algorithm.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications