Learning Algorithm for CAC Adjustment in ATM Networks
نویسنده
چکیده
We propose an algorithm for measurement based CAC adjustment in ATM networks. The algorithm was derived under requirement that it is applicable to ATM switches without proprietary solutions. For this reason the algorithm is fed by simple cell loss measurements. Based on this measurements the CAC overbooking factors are updated once a day. The updates are optimized based on the history of the measurements, hence the name learning algorithm. The preliminary numerical study shows that the algorithm is robust and delivers high bandwidth utilization while the quality of service constraints are satis ed.
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