Adaptive CAC algorithms using measurement and estimation

To prevent network congestion due to unpredictable statistical fluctuation of broadband traffic pattern, a robust and reliable traffic control mechanism is required in an asynchronous transfer mode (ATM) network. We propose new adaptive connection admission control (CAC) algorithms which calculate the cell loss performance of related function blocks in a switch node using only a declared peak cell rate and an estimated mean cell rate to reduce the inaccuracy of the declared source parameters. We measure only the mean cell rate of the aggregate cell stream in a link to guarantee measurement accuracy. The proposed CAC algorithms can allow more relaxed source parameter declarations and thus guarantee efficient bandwidth utilization