Predictive Flow-Aware Networks

Admission control routine in Flow-Aware Networks (FAN) may lead to severe fair rate degradation, which negatively impacts the performance of ongoing flows. To mitigate the problem, a predictive approach is proposed in this paper. Instead of waiting for the congestion to occur, proper admission control actions are performed when the system approaches the congestion state. After each network measurement, by analyzing the trend, the next values are predicted and actions are taken based on the predicted values. The proposed mechanism can be simultaneously used with the limitation mechanism providing a considerable performance increase.