Intelligent leaky bucket algorithms for sustainable-cell-rate usage parameter control in ATM networks

Abstract

We propose two intelligent leaky bucket algorithms for sustainable-cell-rate usage parameter control in ATM networks. One is the fuzzy leaky bucket algorithm, where a fuzzy increment controller is incorporated with the conventional leaky bucket algorithm; the other is the neural fuzzy leaky bucket algorithm, where a neural fuzzy increment controller is added with the conventional leaky bucket algorithm. The fuzzy and neutral fuzzy increment controllers properly choose the long-term mean cell rate and the short-term mean cell rate as input variables and by intelligent computation determine the increment value. Three performance measures such as selectivity, responsiveness, and queueing delay are investigated. The intelligent fuzzy leaky bucket algorithms can have a performance that is better than the conventional leaky bucket algorithm. The neural fuzzy leaky bucket algorithm outperforms the fuzzy leaky bucket algorithm.